Sana Mujeeb

Sana Mujeeb
COMSATS University Islamabad | CUI · Department of Computer Science

PhD Computer Science
Looking for collaborations in the research of data analytics based energy optimization and electricity theft detection.

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36
Publications
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287
Citations

Publications

Publications (36)
Code
Matlab Code of JAYA Optimization based Feed-Forward Neural Network
Presentation
Full-text available
"Gender Classification based on Human Facial Image" (MCS Final Year Project Defense Presentation, Spring 2010)
Presentation
Full-text available
Conference Paper Presentation presented at FIT Conference 2019. Title: "DCNN and LDA-RF-RFE based Short-Term Electricity Load and Price Forecasting"
Presentation
Full-text available
Lecture Notes on Introduction to Data Science Fall Spring 2019.
Research Proposal
Full-text available
M Phil Computer Science Thesis Synopsis: There is a requirement of such a system which is helpful in diagnosis of psychological disorders in order to save psychologists time and to keep record of patient's case. Or a system is required that would make the diagnosis easy and interesting like casual chat. We propose a system which is able to have a c...
Presentation
Full-text available
M Phil Computer Science Thesis Defense Presentation. Title: "Aquabot: A Diagnostic Chatbot for Achluophobia and Autism"
Presentation
Full-text available
Ph.D. Thesis Synopsis Defense Presentation. Title: "Data Analytics based Efficient Energy Management in Smart Grids"
Presentation
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Lecture Notes on Introduction to Data Analytics, M Phil Computer Science, Course: Research Methodology in Information Technology Spring 2019, COMSATS University Islamabad.
Preprint
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Fingerprint recognition is still a complex task for correct and reliable identification of a person. Two images of same fingerprint may have complex alterations. Fingerprints get changed by cuts and by burning. Fingerprints get wrinkled when immersed in water. Wrinkled fingerprints' recognition rate is poor. In this research Genetic algorithm (GA)...
Thesis
Full-text available
Autism and Achluophobia (fear of darkness) are the most common neurodevelopment disorders usually found in children. State of the art trivial diagnosis methods require a lot of time and are also unable to maintain the case history of psychological disease. A chatbot has been developed in this work which can diagnose the severity of disease on the b...
Thesis
Full-text available
The revolution of power grids from traditional grids to Smart Grids (SGs) requires effective Demand Side Management (DSM) and reliable Renewable Energy Sources (RESs) incorporation in order to maintain demand, supply balance and optimize energy in an environment friendly manner. Data analytics provide solutions to the emerging challenges of power s...
Thesis
Full-text available
Smart Grid (SG) is a modernized grid that provides efficient, reliable and economic energy to the consumers. Energy is the most important resource in the world and almost everything relies on it. As smart devices are increasing dramatically with the rapid increase in population, there is a need for an efficient energy distribution mechanism. Furthe...
Article
Full-text available
Electricity theft has emerged as one of the major reasons of Non-Technical Losses (NTLs) in the power distribution systems and has become a global issue. Therefore, power utilities are concerned about resolving the issue of electricity theft. In this regard, the data collected by Advanced Metering Infrastructure (AMI) can be used to devise data-dri...
Thesis
Full-text available
The revolution of power grids from traditional grids to Smart Grids (SGs) requires effective Demand Side Management (DSM) and reliable Renewable Energy Sources (RESs) incorporation in order to maintain demand, supply balance and optimize energy in an environment friendly manner. Data analytics provide solutions to the emerging challenges of power s...
Chapter
Full-text available
Due to the depletion of fossil fuel and global warming, the incorporation of alternative low carbon emission energy generation becomes crucial for energy systems. The wind power is a popular energy source because of its environmental and economic benefits. However, the uncertainty of wind power, makes its incorporation in energy systems really diff...
Conference Paper
Full-text available
Accurate load and price forecasting is one of thecrucial stage in Smart Grid (SG). An efficient load and price fore-casting is required to minimize the large difference among powergeneration and consumption. Accurate selection and extractionof meaningful features from data are challenging. In this paper,New York Independent System Operator (NYISO)...
Conference Paper
Full-text available
In smart grids, one of the key issues is accurate forecasting of electricity load and price to reduce the gap between generation and consumption of electricity. To address this issue, a framework has been proposed, in which feature selection has been done by Random Forest (RF) technique in both data sets of load and price. For prediction, RF, Suppo...
Research Proposal
Full-text available
With the advent of Smart Grid (SG), the data collected by smart meters and Phasor Measurement Units (PMUs) has become a valuable source for grid operators and researchers to perform advanced analytics. In SG, the energy-related data is collected in a very huge volume, at a high velocity from a variety of sources. Data analytics provide solutions to...
Article
Full-text available
Recently, power systems are facing the challenges of growing power demand, depleting fossil fuel and aggravating environmental pollution (caused by carbon emission from fossil fuel based power generation). The incorporation of alternative low carbon energy generation, i.e., Renewable Energy Sources (RESs), become crucial for energy systems. Effecti...
Conference Paper
Full-text available
The power grid has attracted a lot of attention recently, due to its innovations and technologies. Sophisticated and efficient techniques are used to manage energy demand and supply operations in the modern power grids. Efficient energy management based on load and price forecasting is the focus of the power utility. In this paper, hour-ahead elect...
Conference Paper
Full-text available
In this paper, Deep Convolutional Neural Network (DCNN) is proposed for short term electricity load and price forecasting. Extracting useful information from data and then using that information for prediction is a challenging task. This paper presents a model consisting of two stages; feature engineering and prediction. Feature engineering compris...
Conference Paper
Full-text available
Due to the depletion of fossil fuel and global warming, the incorporation of alternative low carbon emission energy generation becomes crucial for energy systems. The wind power is a popular energy source because of its environmental and economic benefits. However, the uncertainty of wind power, makes its incorporation in energy systems really diff...
Article
Full-text available
Accurate forecasting of the electricity price and load is an essential and challenging task in smart grids. Since electricity load and price have a strong correlation, the forecast accuracy degrades when bidirectional relation of price and load is not considered. Therefore, this paper considers price and load relationship and proposes two Multiple...
Chapter
Full-text available
One of the key issues in the Smart Grid (SG) is accurate electric load forecasting. Energy generation and consumption have highly varying. Accurate forecasting of electric load can decrease the fluctuating behavior between energy generation and consumption. By knowing the upcoming electricity load consumption, we can control the extra energy genera...
Article
Full-text available
This paper focuses on analytics of an extremely large dataset of smart grid electricity price and load, which is difficult to process with conventional computational models. These data are known as energy big data. The analysis of big data divulges the deeper insights that help experts in the improvement of smart grid’s (SG) operations. Processing...
Conference Paper
Full-text available
Recently big data analytics are gaining popularity in the energy management systems (EMS). The EMS are responsible for controlling, optimization and managing the energy market operations. Energy consumption forecasting plays a key role in EMS and helps in generation planning, management and energy conversation. A large amount of data is being colle...
Chapter
Full-text available
In this paper, Smart Grid (SG) efficiency is improved by introducing Cloud-based environment. To access the services and hostage of cloud large number of requests are entertained from Smart Homes (SHs). These SHs exists in clusters of smart buildings. When the number of requests increase, delay, latency and response time also increase. To overcome...
Chapter
Full-text available
This paper focuses on analytics of an extremely large dataset of smart grid electricity price and load that is difficult to process with conventional computational models, referred as big data. The processing and analyzing of big data divulges the deeper insights that help experts in improvement of smart grid operations. Processing and extracting o...
Conference Paper
Full-text available
Electricity Price Forecasting (EPF) plays a significant role in competitive electricity markets. Market participants rely on price forecast for generation, assets scheduling and effective bidding plan formulation. The uncertainty and volatility of energy market makes price forecasting a very challenging task. This paper gives a survey on methods an...
Conference Paper
Full-text available
This paper focuses on analytics of an extremely large dataset of smart grid electricity price and load, that is difficult to process with conventional computational models, referred as big data. The processing and analyzing of power big data divulges the deeper insights that help experts in improvement of smart grid operations. Processing and extra...
Conference Paper
Full-text available
In this paper, Smart Grid (SG) efficiency is improved by introducing Cloud-based environment. To access the services and hostage of cloud large number of requests are entertained from Smart Homes (SHs). These SHs exists in clusters of smart buildings. When the number of requests increases, delay, latency and response time also increase. To overcome...
Article
Full-text available
Chatbots or chatter bots have been a good way to entertain one. This paper emphasizes on the use of a chatbot in the diagnosis of Achluophobia – the fear of darkness and autism disorder. Autism and Achluophobia (fear of darkness) are the most common neurodevelopment disorders usually found in children. State of the art trivial diagnosis method...
Thesis
Full-text available
‘Gender Classification based on Human Facial Image’ is a software tool which takes a human frontal facial image as input and classify its gender whether male or female. The system can also search the available images in some certain folder. It uses a library of four hundred standard frontal facial images of Stanford University’s medical students. F...

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Projects (3)
Project
Matlab Code of JAYA Optimization based Feed-Forward Neural Network By Sana Mujeeb