
Anzar MahmoodMirpur University of Science and Technology · Department of Electrical Engineering
Anzar Mahmood
PhD Electrical Engineering
About
105
Publications
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Introduction
I am working as Director Advanced Studies and Research Board (AS&RB) and associate professor in the department of Electrical Engineering, Mirpur University of Science and Technology (MUST), Mirpur Azad Kashmir. I served COMSATS University Islamabad as Assistant Professor for three years. My PHD thesis is focused on Demand Side Management (DSM) in smart grid. Before joining the COMSATS, served the power industry for six years as senior design and installation engineer.
Publications
Publications (105)
Demand Side Management (DSM) through optimization of home energy consumption in smart grid environment is now one of the well-known research areas. Appliances scheduling has been done through many different algorithms to reduce peak load and consequently the Peak to Average Ratio (PAR). This paper presents a Comprehensive Home Energy Management Arc...
Smart grid with latest technologies provides solid foundation for the implementation of energy management systems at home premises. This paper proposes an autonomous energy management-based cost reduction solution for peak load times using a home energy management system (HEMS). Within a home environment, both the real time and the schedulable appl...
Accurate short-term solar irradiance (SI) forecasting is crucial for renewable energy integration to ensure unit commitment and economic load dispatch. However, hourly SI prediction is very challenging due to atmospheric conditions and weather fluctuations. This study proposes a hybrid approach using weather classification and boosting algorithms f...
To tackle environmental and increasing energy demand issues, different energy transition options have been investigated. Solar power has vast resources and is environment-friendly which makes it a possible alternative to fossil fuels. However, its integration into the power system poses many challenges because of its uncertain variability and diffe...
Advancements in technology and awareness of energy conservation and environmental protection have increased the adoption rate of electric vehicles (EVs). The rapidly increasing adoption of EVs may affect grid operation adversely. However, the increased integration of EVs, if managed appropriately, can positively impact the performance of the electr...
This systematic review aims to elucidate the economic value creation of Artificial Intelligence (AI) in supporting the integration of Variable Renewable Energy (VRE) sources into power systems. Addressing the economic dispatch challenges associated with integrated power system has become paramount due to the increasing penetration of VRE. This pape...
Smart Grid is a way of providing bidirectional energy flow with the integration of latest communication technologies and advanced control methods to overcome the issues associated with the current power grid such as unidirectional power flow, resource wastage, reliability, security, enhanced quality, and increasing demand of energy. Integrating Int...
The ever-increasing electricity demand, its dependency on fossil fuels, and the consequent environmental degradation are major concerns of this era. The worldwide domination of fossil fuels in bulk electricity generation is rapidly increasing the emissions of CO2 and other environmentally dangerous gases that are contributing to climate change. The...
The smart buildings’ load forecasting is necessary for efficient energy management, and it is easily possible because of the data availability based on widespread use of Internet of Things (IoT) devices and automation systems. The information of buildings’ occupancy is directly associated with energy consumption. Therefore, we present a hybrid mode...
This research presents a comprehensive case study on medium-term load forecasting (MTLF) in the intricate dynamics of Pakistan’s power sector, Gujranwala Electric Power Company (GEPCO). The time horizon for MTLF ranges from a few weeks to one year and it has applications in energy management and planning. The deep-learning networks (DLNs), proposed...
Rapidly increasing global energy demand and environmental concerns have shifted the attention of policymakers toward the large-scale integration of renewable energy resources (RERs). Wind energy is a type of RERs with vast energy potential and no environmental pollution is associated with it. The sustainable development goals: affordable and clean...
Accurate Solar Irradiance (SI) forecasting is an important aspect of solar energy harvesting and it depends on various meteorological features. Numerous feature selection algorithms have been implemented for the selection of suitable meteorological parameters. However, boosting algorithms are not explored widely for feature selection applications....
The occupancy datasets are useful for planning important buildings’ related tasks such as optimal design, space utilization, energy management, maintenance, etc. Researchers are currently working on two key issues in building management systems. First, feasible and economical deployment of indoor and outdoor weather and energy monitoring sensors fo...
Internet of Things (IoT) is a revolutionary and novel platform where a smart network connects to the large number of electronic devices via internet through available communication systems for reliable and real time connectivity, sensing thus acquiring data from sensors, computing and actuating devices. A review of the current status of IoT feature...
In recent years, renewable energy (RE) has shown promise as a sustainable solution to the rising energy demand worldwide. Photovoltaic (PV) technology has emerged as a highly viable RE alternative. The majority of PV schemes use specific PV models with specified parameters. This study proposes a PV model with generic specifications, a PV array, a D...
This paper considers the generic problem of a central authority selecting an appropriate subset of operators in order to perform a process (i.e. mission or task) in an optimized manner. The subset is selected from a given and usually large set of ‘n’ candidate operators, with each operator having a certain resource availability and capability. This...
Energy demand is increasing globally due to the growing human population and progressive lifestyle. The adequate use of available energy resources, including renewable, contributes to a country’s economic sustainability and future development. Optimization–based energy management and cost minimization plays a significant role in overcoming energy c...
The smart grid plays a vital role in energy management systems. It helps to mitigate the demand side management of electricity by managing the microgrid. In the modern era, the concept of hybrid microgrids emerged which helps the smart grid management of electricity. Additionally, the Internet of Things (IoT) technology is used to integrate the hyb...
Electric vehicles’ (EVs) technology is currently emerging as an alternative of traditional Internal Combustion Engine (ICE) vehicles. EVs have been treated as an efficient way for decreasing the production of harmful greenhouse gasses and saving the depleting natural oil reserve. The modern power system tends to be more sustainable with the support...
Software defined WiFi networks (SD-WiFi) lead to a promising evolution path, by supporting changes in network traffic, providing centralized network provisioning and allowing flexible resource allocation. Load balancing still remains a challenging issue due to the increased number of WiFi users. In this paper, we propose an efficient algorithmic ap...
An efficient management and better scheduling by the power companies are of great significance for accurate electrical load forecasting. There exists a high level of uncertainties in the load time series, which is challenging to make the accurate short-term load forecast (STLF), medium-term load forecast (MTLF), and long-term load forecast (LTLF)....
This study summarizes a critical review on EVs’ optimal charging and scheduling under dynamic pricing schemes. A detailed comparison of these schemes, namely, Real Time Pricing (RTP), Time of Use (ToU), Critical Peak Pricing (CPP), and Peak Time Rebates (PTR), is presented. Globally, the intention is to reduce the carbon emissions (CO2) has motivat...
The uncoordinated integration of electric vehicles (EVs) severely deteriorates the operational performance of a distribution network. To optimize distribution network performance in an EV charging environment, this paper presents a two-stage optimization approach, which integrates coordinated EV charging with network reconfiguration. A formulation...
Microgrids provide promising solution for integration of renewable energy sources in the electrical grid. To exploit the key benefits, achieving the economical operation of renewable aided microgrids has become necessary and is a challenging task. This paper presents an efficient optimization model to minimize the operational cost of a solar integr...
Efficient & Reliable power is the requirement of consumer to meet their demands. Real & Reactive line losses occur in the distribution network due to environmental, technical & non-technical factors. Reliability of system is affected inadequately due to these factors. In order to minimize both real & reactive line losses, three control grid strateg...
Face recognition aims to establish the identity of a person based on facial characteristics and is a challenging problem due to complex nature of the facial manifold. A wide range of face recognition applications are based on classification techniques and a class label is assigned to the test image that belongs to the unknown class. In this paper,...
Face recognition underpins numerous applications; however, the task is still challenging mainly due to the variability of facial pose appearance. The existing methods show competitive performance but they are still short of what is needed. This article presents an effective three-dimensional pose invariant face recognition approach based on subject...
Smart Gird is a technology that has brought many advantages with its evolution. Smart Grid is indispensable as it will lead us towards environmentally sustainable economic growth. Home energy management in Smart Grid is a hot research topic now a days. It aims at reducing the energy cost of users, gaining energy self-reliance and decreasing Greenho...
Electrified Urban Massive Transportation Railway Systems require the supply of electric power that conforms to electromagnetic standards, safety levels and operational regulations. This paper presents a mathematical modelling of substations, autotransformers, power lines, and trains for a dual 50 kV AC railway system. The innovation of this study l...
A study on Home Energy Management System (HEMS) integrated with Renewable Energy Sources (RES) for
effective Demand Side Management (DSM) in smart grid is presented. HEMS refers to a network that coordinates among various appliances in order to save energy and minimize its cost. Energy cost minimization model is solved using single Knapsack algorit...
Electrified Urban Massive Transportation Railway Systems require the supply of electric power that complies to electromagnetic and safety standards, as well as operational regulation. This paper presents a mathematical modelling of a complete Autotransformer Configuration Railway System. The innovation of this study relies on the consideration of g...
In this era, energy is essential to life and its continuous and ubiquitous supply brings much needed economic growth and prosperity to a region. Energy Management (EnM) contributes to the controlling and monitoring of energy and has recently become the subject of great significance. EnM involves analysis, conservation and imperative actions that le...
The work presented in this paper relates to the conceptual definition, simulation and performance analysis of a novel, 3D graph theory based routing algorithm. The proposed router is designed to provide path planning with deconfliction, i.e. collision avoidance with other moving objects, for Unmanned Aerial Vehicles (UAV) applications in general an...
In this era, energy is essential to life and its continuous and ubiquitous supply brings much needed economic growth and prosperity to a region. Energy Management (EnM) contributes to the controlling and monitoring of energy and has recently become the subject of great significance. EnM involves analysis, conservation and imperative actions that le...
Power losses in electrical power systems especially, distribution systems, occur due to the several technical factors. These losses are due to inappropriate size of conductor, long distribution lines, low power factor, overloading of lines etc. The power losses cause economic loss and reduce the system reliability. The reliability of electrical pow...
Load Forecasting (LF) plays a vital role in the planning,
operation and control of power system in deregulated environment.
It facilitates the utility in effective decision making related to
different critical tasks such as dispatch scheduling of generating
capacity, maintenance scheduling, reliability analysis, input/output
supply balance, command...
Abstract—This paper discusses the necessity and significance of smart and sustainable energy system in the state of Azad Jammu and Kashmir (AJK). A smart grid (SG) enhances the reliability and efficiency of power grid by automatically responding to number of faults and disturbances occurring in a power system (PS). If not addressed appropriately, t...
Power losses in electrical power systems especially, distribution systems, occur due to the several technical factors. These losses are due to inappropriate size of conductor, long distribution lines, low power factor, overloading of lines etc. The power losses cause economic loss and reduce the system reliability. The reliability of electrical pow...
This paper proposes an indoor solar thermal cooker (STC) to cook various food items and to reduce the consumption of fossil fuels. An indoor STC is designed and fabricated for thisbpurpose. The main theme of research is to increase the heat storage strength, even in the absence of solar irradiation. Charging time is decreased by using the solar the...
The concerns about carbon emission (CE), its sources of production, effects of waste and its different forms which not only pollute environment but also cause serious health problems are very important topic in the new era of science due to production of greenhouse gases (GHGs) which cause climate change (CC). The analysis of GHGs assesses the pote...
Excellence in engineering education and national excellence are directly related to each other. Faculty is considered as the fundamental human asset of any institution. Excellence in higher education is a function of the kind of people who can attract and retain it. This thesis analyzes the selection process of faculty and their retention in engine...
World is opting solar energy as clean, green and renewable energy source at rapid pace. With increased use of fossil fuel, pollution is increasing at alarming rate and global heating has provoked attention. Energy from sun is pollution free and can be utilized in generation of other types of energy which are more useful. Third world countries like...
The aim of this work is to propose a centralized
energy management system (EMS) for residential consumers.
Consumers will connect with the EMS using energy management
controller (EMC), which is installed at their premises. After
successful communication with EMS, it will ask the user to input
his appliances to be scheduled. Then a knapsack schedule...
Reliable energy forecasting helps managers to prepare future budgets for their buildings. Therefore, a simple, easier, less time consuming and reliable forecasting model which could be used for different types of buildings is desired. In this paper, we have presented a forecasting model based on five years of real data sets for one dependent variab...
Reliable energy forecasting helps managers to prepare future budgets for their buildings.
Therefore, a simple, easier, less time consuming and reliable forecasting model which could be used
for different types of buildings is desired. In this paper, we have presented a forecasting model
based on five years of real data sets for one dependent variab...
Reliable energy forecasting helps managers to prepare future budgets for their buildings.
Therefore, a simple, easier, less time consuming and reliable forecasting model which could be used
for different types of buildings is desired. In this paper, we have presented a forecasting model
based on five years of real data sets for one dependent variab...
There is huge expectation from smart power grid to provide
sustainable energy services using bi-directional flow of data and power
enabled by advanced information, communication and control
infrastructure. An important element of such a smart grid is prosumers
i.e. the consumers who also produce and share surplus energy with grid
and other users. P...
Energy has been one of the key requirements for mankind since its creation. Increase in population and race of modernization have increased the per capita energy requirement. The most commonly used energy sources are electricity, oil, natural gas and coal. Nature has blessed Pakistan with abundant energy sources, however the country is characterize...
DSM is a series of measures established to reduce energy consumption. It can be a long term solution of our current energy problems. The benefits of DSM can be fully tapped after its integration with Smart Grid. In this paper, We present a habit based Demand Side Management (DSM) model. To monitor the usage on energy, a Home Energy Management Syste...
Renewable Energy (RE) resources have vast sustainable potential to meet the increasing global energy demand. Photovoltaic (PV) is one of the most promising RE technologies. Most of the PV systems use specific PV model
with fixed parameters. This paper presents a PV system consisting of PV model having generic parameters, PV
array, Maximum Power Poi...
This paper deals with performance improvement of Pendulum Cart System (PCS) using fractional controller.
A simpler control structure for stabilization of PCS is proposed. This control structure consists of two Fractional
Order Proportional Integral Derivative (FOPID) controllers which are designed on the basis of Fractional Order Calculus (FOC). On...
In this paper, we present a novel home energy management model with enhanced load categorization and multiple scheduling options. Concepts of partial baseline and reserved interrupting loads are used to enhance the traditional load categorization. The proposed model uses multiple pricing schemes namely Time of Use (ToU) and Real Time Pricing (RTP)...
Increasing population and modern life style have raised the energy demand globally. Demand Side Management (DSM) is one of the important tools used to manage the energy demand. It employs advanced power infrastructure along with bi-directional information flow among utility and users in order to achieve a balanced load curve and minimize demand-sup...
Smart grid is envisioned to meet the 21st century energy requirements in a sophisticated manner with real time approach by integrating the latest digital communications and advanced control technologies to the existing power grid. It will dynamically connect all the stake holders of smart grid through enhanced energy efficiency awareness corridor....
China, India and Pakistan (CIP) contain almost forty percent of the world population and constitute a developing region which is desperately seeking energy resources to fulfill the growing economy requirements. CIP are three main countries of South Eastern Asia with nuclear capability and have greater potential of energy sharing for the regional pr...
Power generation and supply management is becoming an increasingly difficult task with the increase in population. One of the solutions is intelligent control of power consumption in the households where most of power consumption is due to high load appliances like Electric Water Heater (EWH) in winter and fridge in summer. This paper presents an o...
Residential sector constitutes major portion of electricity market and majority of the worldwide consumers are not able to interact with grid dynamically according to fluctuating conditions. Smart Grid is proposed to overcome the shortcomings of the existing grid with integrated bidirectional communication and control infrastructure including dynam...
Smart Grid is supposed to play an important role in future energy management. In smart grid, Demand Side Management (DSM) is one of the main areas which is under focus of researchers in order to solve the classical problem of peak demand management. In this paper, we have proposed a Habit Based DSM (HBDSM) model for peak load shaving. Proposed meth...
Two way communication of information and electricity in smart grid provides the promising solution to all the major problems of existing grid especially the classical problem of peak load management. Optimization of generation, transmission and distribution in smart grid is major concern of researchers. Demand Side Management (DSM) allows the activ...
Load management (LM) is supposed to have a vital role in future energy management
systems. This article presents overview and comparison of LM techniques along with related
technologies and implementation challenges in smart grid. The article also covers consumer
and utility concerns in context of LM to enhance readers’ intuition about the topic. T...
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