Mahnoor Khan

Mahnoor Khan
COMSATS University Islamabad | CUI · Department of Computer Science

Bachelor of Science

About

21
Publications
4,425
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125
Citations
Introduction
Skills and Expertise

Publications

Publications (21)
Chapter
Full-text available
Short term load forecasting is indispensable for industrial, commercial, and residential smart grid (SG) applications. In this regard, a large variety of short term load forecasting models have been proposed in literature spaning from legacy time series models to contemporary data analytic models. Some of these models have either better performance...
Chapter
Liable, proficient and ecological cognizant electrical energy consumption activities are becoming a basic need for the consistent smart grid. This paper put forwards the concept of a data mining and intelligent proposed model to scrutinize including predict electrical energy time sequences to discover a number of time-based power consumption patter...
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...
Article
Full-text available
Demand Response Management (DRM) is considered one of the crucial aspects of the smart grid as it helps to lessen the production cost of electricity and utility bills. DRM becomes a fascinating research area when numerous utility companies are involved and their announced prices reflect consumer’s behavior. This paper discusses a Stackelberg game p...
Conference Paper
In this paper, we present a Home Energy Management System (HEMS) using two meta-heuristic optimization techniques: Bacterial Foraging Optimization Algorithm (BFOA) and Bat Algorithm (BA). HEMS will provide different services to end user to manage and control their energy usage with time of use. The proposed model used for load scheduling between pe...
Conference Paper
Demand Side Management (DSM) is an efficient and robust strategy for energy management, Peak to Average Ratio (PAR) reduction and cost minimization. Many DSM techniques have been proposed for industrial, residential and commercial areas in last years. In this paper, we have design Home Energy Management Scheduler (HEMS) using two algorithms Genetic...
Conference Paper
The introduction of Smart Grid (SG) in recent years provide the opportunity to the consumer to schedule their load in such an efficient manner that reduces the bill and also minimizes the Peak to Average Ratio. This paper focuses on scheduling the appliances in a more feasible and energy conservative way to satisfy both consumer and utility. In thi...
Conference Paper
The rise of energy demand is an alarming situation for mankind as it can lead towards a crisis. This problem can be easily tackled by assimilating Demand Side Management (DSM) with traditional grid by means of bi-directional communication between utility companies and consumers. This study evaluates the performance of Home Energy Management System...
Conference Paper
In this modern world, the demand of energy rises exponentially, that makes it a valuable resource. New techniques and methods are being developed to solve the problem of energy crisis in residential areas. The strategy to handle this problem is by integrating the demand side management (DSM) with smart grid (SG). DSM enables the consumer to schedul...
Conference Paper
The increase in the energy consumption causes a serious crisis, especially during on-peak hours when the demand of energy consumption is high. Consequently, the peak to average ratio and electricity cost will be increased. This issue can be overcome by integrating Demand side management (DSM) with traditional Smart grid (SG), so that electricity ut...
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
Short term load forecasting is indispensable for industrial, commercial, and residential smart grid (SG) applications. In this regard, a large variety of short term load forecasting models have been proposed in literature spaning from legacy time series models to contemporary data analytic models. Some of these models have either better performance...
Conference Paper
Liable, proficient and ecological cognizant electrical energy consumption activities are becoming a basic need for the consistent smart grid. This paper put forwards the concept of a data mining and intelligent proposed model to scrutinize including predict electrical energy time sequences to discover a number of time-based power consumption patter...
Conference Paper
To fulfill the fluctuating demands of energy , there is dire need of energy management alongside the production of electrical energy. A number of management tools such as home energy management, demand side management and demand response are in practice in many electric power systems. Energy consumption is a real time activity therefore there is ne...
Conference Paper
In this modern world, the demand of energy rises exponentially, that makes it a valuable resource. New techniques and methods are being developed to solve the problem of energy crisis in residential areas. The strategy to handle this problem is by integrating the demand side management (DSM) with smart grid (SG). DSM enables the consumer to schedul...
Conference Paper
Demand Side Management (DSM) is an efficient and robust strategy for energy management, Peak to Average Ratio (PAR) reduction and cost minimization. Many DSM techniques have been proposed for industrial, residential and commercial areas in last years. In this paper, we have design Home Energy Management Scheduler (HEMS) using two algorithms Genetic...
Conference Paper
The introduction of Smart Grid (SG) in recent years provide the opportunity to the consumer to schedule their load in such an efficient manner that reduces the bill and also minimizes the Peak to Average Ratio. This paper focuses on scheduling the appliances in a more feasible and energy conservative way to satisfy both consumer and utility. In thi...
Conference Paper
The rise of energy demand is an alarming situation for mankind as it can lead towards a crisis. This problem can be easily tackled by assimilating Demand Side Management (DSM) with traditional grid by means of bi-directional communication between utility companies and consumers. This study evaluates the performance of Home Energy Management System...
Conference Paper
In this paper, we present a Home Energy Management System (HEMS) using two meta-heuristic optimization techniques: Bacterial Foraging Optimization Algorithm (BFOA) and Bat Algorithm (BA). HEMS will provide different services to end user to manage and control their energy usage with time of use. The proposed model used for load scheduling between pe...
Conference Paper
The increase in the energy consumption causes a serious crisis, especially during on-peak hours when the demand of energy consumption is high. Consequently , the peak to average ratio and electricity cost will be increased. This issue can be overcome by integrating Demand side management (DSM) with traditional Smart grid (SG), so that electricity u...

Projects

Projects (2)
Project
This project aims the maximize throughput and efficiency of CPU. Moreover, it also concerns cost reduction and saving execution cycles of CPU.