Science topic
Smart Grid - Science topic
It is an open discussion about Smart Grid issues for professionals, students and everyone who is interested in modernizing the power grid. Let’s share our thoughts, views and concerns for realizing the Smart Grid!
Questions related to Smart Grid
会议征稿:第四届智能电网与能源互联网国际会议(SGEI 2024)
Call for papers: IEEE 2024 4th International Conference on Smart Grid and Energy Internet (SGEI 2024) will be held during December13-15, 2024 in Shenyang, China. SGEI 2024 is hosted by Shenyang University of Technology.
Conference website(English): https://ais.cn/u/bIbYNn
重要信息
大会官网(投稿网址): https://ais.cn/u/bIbYNn
大会时间:2024年12月13-15日
大会地点:中国-沈阳
收录检索:IEEE Xplore,EI Compendex,Scopus
会议详情
由沈阳工业大学主办的2024年第四届智能电网与能源互联网国际会议(SGEI 2024)将于2024年12月13日至15日在中国沈阳举行。会议主要围绕智能电网与能源互联网等研究领域展开讨论。旨在为智能电网与能源互联网等领域的专家学者及企业发展人提供一个分享研究成果、讨论存在的问题与挑战、探索前沿科技的国际性合作交流平台。本次会议将大力推广能源领域的创新技术和实际应用,旨在充分实现各类能源资源的互联、开放、共享和协同,塑造绿色、低碳、高效和低成本的智慧能源系统。大会诚邀国内外高校、科研机构专家、学者,企业界人士及其他相关人员参会交流。
征稿主题(包括但不限于)
分布式能源:可再生能源和存储,微电网和虚拟电厂,电力电子和电网接口,能源和配送管理系统,能源系统的监测,保护和控制,智能电网技术,能源转换和存储 ,传输系统技术,HVDC和FACTS,配电系统和变电站自动化,智能电网的信息和通信技术,监测和控制智能电网的电能质量,多领域应用的智能电网,电源质量、保护和电磁兼容性,电力工程发电技术,电动驱动器及其应用,大电网稳定控制,电力系统通信与控制,电网智能调度,能源互联网的建模、仿真与设计,人工智能技术,智能配用电与微电网,能源互联网的装备核心技术,直流电网,物联网,支撑能源互联网的信息物理系统及信息安全,全球能源互联网,能源效率,能源战略与能源互联网 ,新能源系统及控制等。
论文出版
SGEI 2024投稿,都必须经过2-3位组委会专家审稿,经过严格的审稿之后,最终所有录用的论文将由IEEE(ISBN:979-8-3503-6831-4)出版,见刊后由出版社提交至IEEE Xplore, EI, Scopus检索。
报名参会:
1、作者参会:一篇录用文章允许一名作者免费参会;
2、主旨报告:可申请主题演讲,由组委会审核;
3、口头报告:可申请口头报告,时间为10分钟;
4、海报展示:可申请海报展示,A1尺寸,彩色打印;
5、听众参会:不投稿仅参会,也可申请演讲及展示;
6、报名参会:https://ais.cn/u/bIbYNn

2025 4th International Conference on Smart Grid and Green Energy (ICSGGE 2025)
February 28th – March 2nd, 2025
University of New South Wales, Sydney, Australia
Technically Co-sponsored by IEEE & IEEE New South Wales Section
Organizer: School of Information Systems and Technology Management, UNSW
Co-organizers: Hainan Institute of Zhejiang University, Sanya Global Energy Research Institute, AEIC Academic Exchange Information Center
Media Supporter: <Energy Conversion and Economics>
Official Website: https://ais.cn/u/Rzqi6r
The University of New South Wales is honored to host the 4th International Conference on Smart Grid and Green Energy (ICSGGE 2025). Set against the backdrop of vibrant Sydney, Australia, this prestigious conference invites researchers, scientists, engineers, and scholars from around the world to converge for an enriching exchange of insights from February 28th to March 2nd, 2025.
Objective: ICSGGE 2025 aims to serve as a distinguished platform for the presentation and discussion of innovative research in the domains of Smart Grid and Green Energy. We are dedicated to fostering a collaborative environment that promotes the exchange of experiences, pioneering ideas, and practical solutions to challenges faced in the evolution of sustainable energy systems.
Call for Contributions: We invite the submission of original research papers, case studies, and reviews that address various aspects of Smart Grid and Green Energy, including but not limited to:
Advanced smart grid systems, technologies, and methodologies
Renewable energy integration and energy storage solutions
Energy efficiency and demand-side management
Power system management, control, and stability
Sustainable and intelligent energy policies
Cybersecurity and privacy in smart grid technologies
Data analytics and machine learning applications in energy systems
Emerging trends in green energy and smart infrastructure
Submission Guidelines: Authors are invited to submit manuscripts electronically in accordance with the guidelines outlined on the conference website. All submissions will undergo a rigorous peer-review process to ensure the highest standards of quality and relevance.
Publication: Accepted papers will be published in the IEEE Xplore Digital Library and will be indexed by EI COMPENDEX and SCOPUS, providing significant visibility and outreach to the broader academic and professional communities.
Important Dates:
Submission Deadline: January 24, 2025
Notification of Acceptance: Februry 1, 2025
Camera-Ready Submission: Februry 21, 2025
Join us at ICSGGE 2025 to share your knowledge, explore groundbreaking advances, and contribute to the transformative discussions shaping the future of Smart Grid and Green Energy.
For more details, please visit the conference website:
We eagerly anticipate your contributions and look forward to welcoming you to an academically stimulating and enlightening conference in Sydney!

Does the EU smart grid strategy empower consumers to actively participate in the energy transition through demand response programs, energy management solutions, support for prosumer participation, and consumer awareness initiatives for meeting climate change mitigating goals? As a follow-up question, does it give the EU electricity customers greater visibility, control, and incentives to manage their energy usage efficiently? In turn, does the EU aim to harness the collective efforts of households and businesses to achieve a more sustainable and resilient energy system? Kindly comment.
Fairness is a very important factor during the application of DR programs. The implementation of a DR program which provides a fairness would encourage customers participation. Thus, more participations would boost effectiveness of the DR program. So, what are the fairness indices which are used in demand side management studies and how they can be measured or calculated?
IEEE 2024 8th International Conference on Electrical, Mechanical and Computer Engineering (ICEMCE 2024) will be held on October 25-27, 2024 in Xi'an, China.
Conference Website: https://ais.cn/u/baUBfa
---Call for papers---
The topics of interest for submission include, but are not limited to:
· Smart grid
· Heat exchanger
· Computer simulation
· Artificial intelligence (AI)
· Computer modeling
· Mobile computing
· Instruments and meters
· Power and fluid machinery
· Heat and mass transfer
· Laser processing technology
· Wireless sensor networks
· Electric energy processing
· Electromagnetism and photonics
· Power quality and system stability analysis
· Photoelectric effect of semiconductors
· Refrigeration and air conditioning
......
---Publication---
All accepted papers will be submitted to IEEE (ISBN: 979-8-3315-0623-0) for publication, and it will be submitted to IEEE Xplore, EI Compendex and Scopus for indexing.
---Important Dates---
Full Paper Submission Date: September 30, 2024
Registration Deadline: October 18, 2024
Final Paper Submission Date: October 18, 2024
Conference Dates: October 25-27, 2024
--- Paper Submission---
Please send the full paper(word+pdf) to Submission System:

IEEE 2024 5th International Conference on Clean Energy and Electric Power Engineering (ICCEPE 2024) will be held in Yangzhou City, Jiangsu Province, China on August 9-11, 2024.
Conference Website: https://ais.cn/u/3yQnau
---Call for papers---
The topics of interest include, but are not limited to:
◕ Clean energy
(1) Renewable energy technologies and systems
(2) Renewable energy storage technology
(3) Energy efficiency
(4) Solar thermal energy
(5) Solar seawater desalination
......
◕ Power Engineering
(1) Electric power allocation
(2) Power flow analysis
(3) Power quality
(4) Cogeneration and distributed generation
(5) Power system and energy
......
◕ Smart Grid and Energy Science
(1) Distributed generation and combined generation system
(2) Energy management and environmental issues
(3) Hybrid power system
(4) Hydraulic power plant
(5) Hydrogen system and fuel cell
......
---Publication---
All papers, both invited and contributed, the accepted papers, will be published in IEEE(ISBN: 979-8-3503-9031-5) and submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore's scope and quality requirements, and also submitted to IEEE Xplore, EI Compendex and Scopus for indexing. All conference proceedings paper can not be less than 4 pages.
---Important Dates---
Full Paper Submission Date: June 24, 2024
Registration Deadline: July 25, 2024
Final Paper Submission Date: August 5, 2024
Conference Dates: August 9-11, 2024
--- Paper Submission---
Please send the full paper(word+pdf) to Submission System:

2024 8th International Conference on Energy Technology and Materials Science(ICETMS 2024) will be held in in Chongqing, China from May 31 to June 02, 2024.
ICETMS 2024 will provide unique opportunity to have fruitful discussions about Energy Technology, Material Science, Power Electronics, Systems and Applications, and best practices that address industrial challenges. The event includes large number of speakers and quality papers that cover energy generation, transmission and distribution infrastructures, energy storage and Material.
---Call For Papers---
The topics of interest for submission include, but are not limited to:
Track 1: New Energy Technologies and Renewable Energy Sources.
1. New and Renewable Energy Technologies
2. Photovoltaics, Photocatalysis and Solar Energy
3. Energy conversion and storage materials
4. Energy Management and Smart Grid
5. Traditional energy transformation and cleaner production
6. Low-carbon technologies and carbon capture and storage
7. Materials Science and Engineering in Energy Technology
8. Energy security and sustainable development
9. New energy materials and material design
10. Energy system simulation and optimization
Track 2: Energy Storage Technologies and Battery Materials.
1. Energy storage technologies and battery materials
2. Fuel cells and hydrogen energy
3. Renewable energy and power systems
4. Energy efficiency and energy saving technologies
5. Wind and ocean energy
6. Synthesis and preparation of energy materials
7. Application of materials science in energy technology
All accepted papers will be published in the Journal Of physics: Conference Series (ISSN:1742-6596), and it will be submitted to EI Compendex and Scopus for indexing.
Important Dates:
Full Paper Submission Date: April 20, 2024
Registration Deadline:May 10 , 2024
Final Paper Submission Date: May 20 , 2024
Conference Dates: May 31-June 02, 2024
For More Details please visit:
Invitation code: AISCONF
*Using the invitation code on submission system/registration can get priority review and feedback

Optimization by genetic algorithm (GAO) in electricity and smart grid?
why we use it ?
what is the process of this algorithms ?
2024 International Conference on Smart City and Information System (ICSCIS 2024) will be held in Kuala Lumpur, Malaysia from May 17-19, 2024.
---Call For Papers---
The topics of interest include, but are not limited to:
1. Smart City
- Smart Grid
- Smart Manufacturing
- Wireless Communication
......
2. Information System
- Information Systems and Security
- Information Management Systems
- Internet of Things (IoT)
......
3. Other Related Topics
All accepted full papers will be published on Conference Proceedings and submitted to EI Compendex and Scopus for indexing.
Important Dates:
Registration Deadline Date: May 8, 2024
Final Paper Submission Date: May 13, 2024
Conference Date: May 17-19, 2024
For More Details please visit:

I am interested to see the impact of Renewable Energy Sources on the frequency regulation on a smart grid. Any recommended references and papers?
Thanks!
𝟯𝗿𝗱 𝗜𝗻𝘁𝗲𝗿𝗻𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗖𝗼𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗼𝗻 𝗘𝗹𝗲𝗰𝘁𝗿𝗶𝗰𝗮𝗹, 𝗣𝗼𝘄𝗲𝗿 𝗮𝗻𝗱 𝗚𝗿𝗶𝗱 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 (𝗜𝗖𝗘𝗣𝗚𝗦 𝟮𝟬𝟮𝟰) 𝘄𝗵𝗶𝗰𝗵 𝘄𝗶𝗹𝗹 𝗯𝗲 𝗵𝗲𝗹𝗱 𝗶𝗻 𝗞𝘂𝗮𝗹𝗮 𝗟𝘂𝗺𝗽𝘂𝗿, 𝗠𝗮𝗹𝗮𝘆𝘀𝗶𝗮. 𝗼𝗻 𝗝𝗮𝗻𝘂𝗮𝗿𝘆 𝟮𝟲-𝟮𝟴, 𝟮𝟬𝟮𝟰.
---𝐂𝐚𝐥𝐥 𝐅𝐨𝐫 𝐏𝐚𝐩𝐞𝐫𝐬---
The topics of interest for submission include, but are not limited to:
· Solar Power
· New Energy Power Generation
· Transmission of Electrical Energy
· Signal and System
· Power Systems and Automation
· Electrical System Modeling
· Power System Communication and Control
· Computational Intelligence in Electrical Engineering
· Electrical Materials and Equipment
· Power System Protection and Control
· High Voltage and Insulation
· Smart Grid
· Microgrid
· Smart Sensors
· Smart Networks and Communications
· Materials for Electrical and Optoelectronics
· Machine Learning and Artificial Intelligence in Power Systems
· Big Data Application in Power Systems
All accepted papers will be published in the Conference Proceedings, and submitted to EI Compendex, Scopus for indexing.
𝐈𝐦𝐩𝐨𝐫𝐭𝐚𝐧𝐭 𝐃𝐚𝐭𝐞𝐬:
Full Paper Submission Date: December 10, 2023
Registration Deadline: December 30, 2023
Final Paper Submission Date: January 12, 2024
Conference Dates: January 26-28, 2024
𝐅𝐨𝐫 𝐌𝐨𝐫𝐞 𝐃𝐞𝐭𝐚𝐢𝐥𝐬 𝐩𝐥𝐞𝐚𝐬𝐞 𝐯𝐢𝐬𝐢𝐭:

Hello, I am currently writing a paper that reqires me to simulate a renewable energy grid with machine learning. I'd be grateful if anyone with experience on this can give a few suggestion as to which software to use for this task. Thanks in advance.
What are the techniques used to detect, identify, localize the faults in microgrid/smart grid/ active distribution grid using Phasor measurement unit?
Please explain about the techniques about the restoration of system after the abnormalities occurred in the power networks specially in DGs
Thank you
I have to used IEC-61850 communication protocol used for substation automation through OPAL-RT?
I know its working and i have also verified my results through OPAL-RT but there is some problem i am having in case of its block diagram, that how i will introduce its components of working in my normal block diagram?
Hi, I am using appliance scheduling on a particular day using optimization techniques. Can I perform economic evaluation of solar PV systems integrated with smart grid using HOMER Grid software.
I am working on energy forecasting and anomaly detection. I need to find looking energy consumption dataset.
Can we model an information system to create a sync between different power generation units to generate power in most economic way based on current weather condition?
Understanding and predicting the complex or chaotic behaviors of complex and nonlinear systems is very interesting and challenging, especially when we deal with it in practical systems, like smart city or energy systems It turns out that complexity and chaos theories may provide us with a framework to explore these. Complexity in energy systems involve multiple factors, such as weather changes, unseen failures, demand, energy prices, and consumer behavior, which can exhibit unforeseen behaviors like emergence that are difficult to predict.
What is your opinion on the link between Complexity and Chaos Theories, and energy systems, which concerns the following questions:
- Can complexity and chaos theories be used to better understand and predict the behavior of energy systems?
- What challenges and limitations do we face when applying complexity and chaos theories to energy systems?
Recent studies have explored the use of computational techniques, such as machine learning and entropy-based information theoretical methods, to analyze complex systems and identify chaotic behavior. For example, one study proposed using complex system characteristics as features for time series data to identify chaotic behavior, achieving high precision on test data [1]. Another study explored the use of deep learning methods for classifying chaotic time series, achieving an impressive accuracy of 99.45 percent on unseen samples [2]. A third study utilized entropy-based methods to develop an effective approach for classifying time-series data [3].
Join us in this discussion and share your thoughts on how we can use complexity and chaos theories, as well as and other computational techniques to better understand and predict the behavior of complex systems in energy systems, and the like. Let's explore the potential of these methods and discuss the challenges and limitations we face in applying them to real-world energy systems.
References:
[1]
Conference Paper A Complex Systems Approach To Feature Extraction For Chaotic...
[3]
Conference Paper A Joint-Entropy Approach To Time-series Classification
Is there any code / package / script to automatically generate single-line diagrams from PYPOWER/MATPOWER casefile or IEEE CDF formats?
Anything related to converters, Charging, and EVs to Smart Grid.
As I mentioned above reviewer has asked me to make changes, like write down complete details about faults in the smart grid though my paper is about faults in transmission lines. My paper already has 12 pages if I add those irrelevant details it will increase the number of pages also. And another thing he has asked to merge all graphs which I think will make it too much complicated for reading. So how should I deny those changes which will not a kind of "offened" the reviewer?
I need a project topic on smart grid technology. please help.
Is petri net a state machine? Is it used in controls? I am interested in learning about the applications of petri-net especially in power/smart grids.
5G generates environmental problems due to the high consumption of mobile networks and radio technologies uses. How can renewable energy and smart energy grids contribute to this problem? Any specific paper? I know thousands. Any special? Thank you in advance.
I want to detect the change in time-series data using RNN-LSTM. I know how to do it with supervised learning, but unable to do the same with unsupervised learning. In this case, I have time-series data for the electricity consumption of a customer with distorted patterns after some date. So before that date, the consumption patterns seem normal (no major change). After that date, the consumption sharply decreased as compared to the previous patterns. Here, I want to detect the change on the day when the pattern seems not normal. I am searching for a way forward for my problem.
Can anyone please elucidate the difference between Euclidean and Non-Euclidean Space? I have seen some literatures where they haver mentioned social networks, sensor networks etc as examples of non-euclidean spaces. Is a power grid also an example of non-Euclidean?
Good Day Researchers,
Kindly refer to some study material to understand the mathematics of reinforced learning and its implementation on MATLAB.
Regards
Mukul
Power Network Expansion Planning is the problem of deciding the new transmission lines that should be added to an existing transmission network in order to satisfy system objectives efficiently. It is one of the main strategic decisions in power systems and has a deep, long-lasting impact on the operation of the system. Several challenges such as deregulation, renewable penetration, large-scale generation projects, market integration, and regional planning are discussed in the literature to some extent.
In the context of the smart grid, what can be the potential future challenges in terms of different scenarios, applications, modeling, solution, and novel devices in the network?
Hello Researchers, I would like to do both simulation and implementation level research work on the smart grid. How should I start from the beginner's level?
I have completed Bsc in EEE.
Any suggestion would be helpful.
Thanks in advance.
Demand Side Management is one of the key tools in smart grids. It is aimed to control and manipulate of the demand by DSM. Demand response programs in DSM provide an option to control and manage the demands via incentives or electricity price. Which performance indices are used in DSM and demand response programs in order to manage the demand? Also, which performance indices are used in DSM in order to evaluate the effectiveness of the DSM?
Hello,
I'm currently enrolled in my last M.S. Renewable Energies & Intelligent Networks trimester before I need to work on my master thesis. My prior degree is a B.E. in Applied Computer & Communication Technology (focus: Software Engineering) and an A.S. in Computer Engineering Technology. I'm looking for some master thesis topic suggestions in the area of Smart Grids which would ideally prepare me for (an engineering) remote job in the field. We had to take a class called automation which covered some topics about smart grids and we had to program using PLC and I enjoyed it. As I'm unfamiliar with all of the smart grid topics that would lead to my goal, I would like your opinions about suitable topics for my master thesis. Btw: Assuming that most remote jobs are probably programming related, I have to note that while I've had a lot of java programming classes, I'm not very interested in it but would prefer PLC, C, Embedded Systems or similar.
There is also a project we need to work on which can be part of our master thesis. For this topic, I would like to connect a few electrical devices (loads and generators) in an electrical circuit and create a program algorithm which decides when to store energy in a battery, when to switch off electrical devices or when to feed back excessive energy to the grid. I'd also welcome some ideas for that.
Finally, I'm wondering which types of remote jobs exist for engineers that are not software engineering?
Thank you.
Smart grid stability isssues and prediction of instability using Machine learning techniques
IS there any literature that analyze selection of window length of window in rooling/moving RMS of voltage signal?
I log data from oscilloscope, and then I calculate RMS voltage, but I am not sure the length of the window? Are there any rules about this?
Which algorithm is best for energy management in smart grid?
To work on 3 objectives, like
1. operating cost
2. pollution emissions
3. availability of renewable energy energy sources.
Which algorithm (must new) can we use?
Kindly suggest some upcoming research areas/ challenges to explore in (but not limited to) sustainable planning, and performance assessment of hybrid renewable grids.
The Smart-Grid Revolution Starts in Boulder, Colorado, who were the stakeholders of this project and what conflict could arise with the stakeholders?
I have proposed an algorithm for energy efficiency at home. I want to implement my model and algorithm to verify the claims and generate results. My parameters are predefined (Switching-on/off timings, Load categories, integration of renewable energies, ToU, When to shift loads at other energy sources .etc). Please recommend me software to do the simulation (Electrical Load/network analysis). I have no time do make functions on MatLab. Tell me some easy to use and GUI based tools.
Somepne please help me where to learn the simulation of Smart Grid on YouTube or other bookr esources?
Hello folks!I just need your help regarding where to learn the Simulation of Smart Grid?
Kindly guide me please for my M.Sc Thesis.
TIA
Hello Engineers;
Can anyone please help me regarding simulation for single-phase smart grid tie inverter?
Dear Experts,
Greetings
I am Dr. Vipul N Rajput working as Associate Professor in Dr. Jivraj Mehta Institute of technology. I am developing quantitative approaches to rank components and technologies for smart grid in India. As a part of my project objective, I would like to incorporate your opinions as an expert.
It is extremely useful to understand the expert stakeholder’s perspective for transforming into complex systems such smart grids due to interactive and non-hierarchical structure. The motivation of this exercise is to improve focus on silos of smart grid development by incorporating experts’ opinions. The responses will be used for ranking these silos so as to recommend synergistic development. This tool can be further used as a scientific rationale for Smart Grid policy development as well. For this exercise, I am attaching an objective questionnaire. Also, the brief introduction about the criteria mentioned in questionnaire can be found in attached document (Definitions_SmartGrid_Criteria).
Your expertise and knowledge in the development of smart grid will definitely help our project positively. You are requested to fill out the questionnaire with your kind perusal. Please attach the response document and convey suggestions, if any.
These responses will be solely used for the research and academic purpose. Your response will remain anonymous.
Once we have sufficient responses, we will share the anonymous responses collected through this discussion for the research community. If you are interested in collaborating for this work, please leave a message in this discussion or send an Email to vipulrajput16986@gmail.com.
Thank You.
Dear all,
I would like to test Power Quality algorithms and indexes for DC grids, DC distribution networks, including DC electrified transportation systems, and show performance in real conditions (showing for example typical ripple, presence of supraharmonics, and most of all typical transients due to load step, variability of PhotoVoltaic and wind energy sources, etc.)
As for DC electrified transportation systems I have several recordings of pantograph voltage and current in 3 kV and 1.5 kV lines (railways and metros).
Specific question: are there accessible datasets or repositories of such voltage and current sampled waveforms for DC grids, microgrids, distribution networks? or do you yourselves have such recordings and could make them available?
Dear Sir/Madam,
I would like to see if anyone is interested in collaborating on some research papers. I work in the fields of SMART GRID, SMART BUILDINGS, OPTIMIZATION, and ENERGY MANAGEMENT.
If you are interested, could you send me a private text, please?
Thanks,
have a nice day!
The data collected from various measurement devices often contains erroneous values - such as noise, missing values, etc. What are the popular techniques for pre-processing measurement data in Smart Grid/Power System?
Citing references will be really helpful. Thanks in advance!
Any ideas for dummies in the Energy sector?
I’m a graduate student and I’m going To start my thesis research , could you help me to find something related to the islanding detection to research about ,thank you at all
1. Considering Two Area Four Machines system, I would like to get some PMU data from Area 1 to Area 2. I am interested in finding out the maximum communication delay that can occur so that inter-area oscillations can be damped out by a controller.
2. If controller receives the data after very long time due to channel imperfections, then what is the possible action to be taken to damp out inter-area oscillations?
3. Does anyone has the knowledge on the practical value of communication delay in real-time power system(smart grid)?
Thanks in advance!!
PMU data can go missing due to several factors - faulty PMU or PDC or communication channel, cyber attack, etc.
Bad data can be also caused due to some of the above reasons or maybe due to some valid reasons such as faults occurring in the power system.
But be the reason valid or invalid, the signal processing algorithm will consider the data to be missing irrespective of the cause and could treat it as a fault and can opt for control strategies accordingly.
My question is directed at gaining insights about how to identify whether the missing/bad data occurred due to a valid (fault, etc) or invalid reason (cyberattack, device failure, etc) by monitoring any other data from any other device or using any algorithm.
If you can share any references, it will also be quite useful.
Thanks a lot in advance.
I want to combine Project management and renewable energy. Or Smart grid and RE, or project management
Is power-to-gas a possible solution to this issue? Storing renewable energy in the form of H2 and CH4 and using them as fuels can increase the penetration of renewable energy in the transportation sector?
1. How often do they send GOOSE packets?
2. Who goes to fast transmission mode at a event of failure?
3. Where in the distribution grid will they be deployed in the future? at the beginning of each feeder for example?
I want start to work with Smart Grid Applications,
How can start small example from demos?
Considering the recent trends in electrical engineering and new emerging topics in electrical engineering and considering the multidisciplinary areas of research (esp. smart grid), all electrical engineers must have a good command of programming. In this respect, taking into consideration both the academic and industrial requirements, which programming language would be the best choice and why?
How does a nano grid works and it's typical costs
Efficiency and emission reductions are two identified related factors of energy - environment topics.
How are you utilizing artificial intelligence (AI) towards more energy efficient systems while decreasing emissions?
Further, what technical challenges / barriers are you dealing with while applying AI to specific energy - environment problems?
This topic is very broad and involves convergent teams of scientists and engineers. Specific examples include: smart traffic systems that can route traffic decreasing idling or traveling time(s), design that reduces weights of vehicles, reduction of emissions from chemical and petrochemical processing equipment, and the use of mixed energy generation sources to meet demand while reducing impact.
What can be the area of focus? I request eminent researchers in the field to recommend the algorithms on data analysis for Smart Grid for better understanding. I request to consider open source platforms. Thanks in advance.
Dear All,
For my research about data mining in building energy, I need residential energy consumption' but with these requirements:
-appliance level (like refrigerator..)
-at least 40 valid homes
-at least 12-hour resolution(=recording intervals)
-at least 6 months duration
I thoroughly searched for it for about two months! My ultimate choice, "Pecan Street" unfortunately newly restricted its free access mode!
I would be grateful if anyone recommends me similar data.
Your assistance is appreciated in advance.
I am working on network/ switch reconfiguration for balanced/unbalanced distribution system. Please suggest best papers with proper results and understanding.
Working on virtual management of PV system networks, I came accross with "ramp-rate control" that seems pretty plausible-simple scenario. The question crossed my mind is what is the role of PV system performance forecast in a power grid where PV generation is just a suplimentary, i.e. PV generation is a small part of the total capacity. In this case you don't very much rely on PV generation and you can cut it off if it cause fluctuation, why forecast it?
when we connect power converter with pv system the value of voltage will fluctuate across the power converter output, then how to retain a desired constant value at power converter output for its further integration with grid, kindly suggest some models or papers for refernce??
In this digitization age, we all know that Artificial Intelligence or AI is an extremely popular topic of research and development. For electrical power system and renewable energy sources, what is the expected future prospect and revolution by AI? How the electrical industry will benefit from the Industry Revolution (IR) 4.0 digital transformation with AI? Is it possible to integrate all existing conventional electrical power system with AI to accelerate the integration of digital and electrical & electronics?

In domestic field, washing machine and dishwasher loads are categorized as controllable- shiftable loads.
Nowadays, what are most known published works on this topic?
In particular, what is the most effective approach in formulating such kind of loads?
What are the most effective algorithms which are able to schedule in real time the cycle of such loads without assuming to know a priori the future energy demand?
What are is the most common objective function used by a training (optimization) algorithm?
We know, In MATLAB software working in two types of environment. MATLAB Coding Script and MATLAB Simulink. For optimization smart grid operation many respected authors used different types of metaheuristic algorithms to solve this problem. The maximum author chose MATLAB Code to solve metaheuristic algorithms. Now my question: is it efficient to use MATLAB Simulink to replace MATLAB code to solve metaheuristic algorithms for optimization smart grid operation?
Is there differents between 5G and orhers ICT infrastrure in terms of smart grid applications? For example, is there any different between 5G and LTE?
I want to calculate the transmission time of electricity (for example 20kw) in smart grid between two nodes (consumer and producer) , is there any formula i can use !!!
can anyone help me, thanks in advance
i know the difference between smart grid and micro grid , but in term of infrastructure, i dont know what is the difference between them. Anyone can help me, please?
Try to mention the scale , in descending order of importance , by indicating the indices of power quality of the smart grid.
Are there any standards regarding islanded micro grids applicable in terms of general operation, especially regarding AC/DC converters with battery, PV or other sources.
Dear Colleagues,
Energy communities are facing changing regulatory and technological landscapes, which represent both opportunities for and barriers to their development. On the one hand, the new European clean energy regulation envisages important roles for energy communities in energy systems and provides enabling conditions for their deployment (EU, 2019). Furthermore, new types of interactions among active consumers, prosumers and prosumagers are emerging, often facilitated by decentralized storage, smart grid technologies, distributed energy resources and other small-scale technologies, as well as local exchanges enabled by innovative blockchain-based peer-to-peer trading platforms and local energy markets (Giotitsas et al., 2015; Hahnel et al., 2019; Koirala et al., 2018b, 2019; Parra et al., 2016, 2017). All these evolutions create new opportunities for energy communities to play an active role in transitioning towards more sustainable energy systems (Devine-Wright, 2019; van der Schoor and Scholtens, 2019; Rommel et al., 2018; Karunathilake et al., 2018; Koirala et al., 2016; Bauwens, 2016; Schoor et al., 2016; Dóci et al., 2015). In turn, the integration of electricity, heating and transport sector together with community engagement is expected to contribute to more flexible, cost effective and efficient local energy systems (Koirala et al., 2016; Thellufsen and Lund, 2016). In this regard, energy communities are a modern development to re-organize the energy system to simultaneously integrate distributed energy resources and engage local communities (Bauwens and Devine-Wright, 2018; Koirala et al., 2016).
On the other hand, policies that have boosted the development of local renewable projects are being withdrawn across several European countries, including pioneers like Denmark and Germany, where shifts from feed-in tariffs to more market-based instruments have progressively taken place (Bauwens et al., 2016; Leiren and Reimer, 2018; Lundberg, 2019). This has led energy communities to become increasingly professional and commercial and to search for new business models. This has notably involved a diversification of their revenue streams by proposing other offerings on the top of renewable energy generation, for example electric mobility services, energy efficiency models and demand side management (Funkhouser et al., 2015; Gui and MacGill, 2018; Herbes et al., 2017; Mirzania et al., 2019). Another notable evolution is the emergence of networks, intermediaries, coalitions and collaborative dynamics among initiatives, which help existing and aspiring communities with various aspects of project development and advocacy work (Bauwens et al., 2019; Hargreaves et al., 2013; Huybrechts and Haugh, 2018).
These changes in policies and business models will likely have consequences on the forms of, and motivations behind, participation in energy communities. Until recently, energy communities were driven by environmentally or socially motivated collectives of citizens willing to collaborate, share benefit and challenge incumbent energy systems (Bauwens, 2016; Koirala et al., 2018a; Rogers et al., 2008; Wirth, 2014). It remains to be seen how these policy changes and these evolutions in business models will affect the dynamics of community engagement. Similarly whether, these new networks and intermediary organizations will be able to ensure the inclusion of a broader diversity of communities is an open question.