- Smart Grid Energy Management
- Microgrid Control and Optimization
- Power Systems Fault Detection
- Islanding Detection in Power Systems
- Electric Vehicles and Infrastructure
- Power Systems and Renewable Energy
- Electric Power System Optimization
- Energy Load and Power Forecasting
- Smart Grid Security and Resilience
- Energy Efficiency and Management
- Sensorless Control of Electric Motors
- Electric Motor Design and Analysis
- Electricity Theft Detection Techniques
- Advanced MIMO Systems Optimization
- Advanced Battery Technologies Research
- Hybrid Renewable Energy Systems
- Energy and Environment Impacts
- Optimal Power Flow Distribution
- Integrated Energy Systems Optimization
- Power Systems and Technologies
- Electric and Hybrid Vehicle Technologies
- Phytoplasmas and Hemiptera pathogens
- Cognitive Radio Networks and Spectrum Sensing
- Photovoltaic System Optimization Techniques
- Energy Harvesting in Wireless Networks
COMSATS University Islamabad
2016-2025
Bahria University
2022
National University of Sciences and Technology
2022
University of Wah
2022
Federal University Dutse
2019
Superior University
2019
Federal University of Technology Minna
2016
University of Saskatchewan
2002
Wireless sensor networks (WSNs) use the unlicensed industrial, scientific, and medical (ISM) band for transmissions. However, with increasing usage demand of these networks, currently available ISM does not suffice their This spectrum insufficiency problem has been overcome by incorporating opportunistic access capability cognitive radio (CR) into existing WSN, thus giving birth to CR (CRSNs). The nodes in CRSNs depend on power sources that have limited supply capabilities. Therefore,...
The sustainability of the power systems assures consumers to have efficient and cost-effective energy consumption. Consumers' management is one solutions that in fact boosts system stability via efficiently scheduling appliances. In addition management, fulfill their low-cost consumption using decentralized generation (such as solar, wind, plug-in hybrid electric vehicles, small diesel generator). This its trading among prosumers help distribution grid continuous supply. this paper, joint...
As the integration of large-scale wind energy is increasing into electricity grids, role suppliers should be investigated as a price-maker their participation would influence locational marginal price (LMP) electricity. The existing bidding strategies for supplier faces limitations with respect to potential cooperation, other competitors’ behavior, network loss, and uncertainty production (WP) balancing market (BMP). Hence, solve these problems, novel strategy (BS) power has been proposed in...
Uncertainties are the most significant challenges in smart power system, necessitating use of precise techniques to deal with them properly. Such problems could be effectively solved using a probabilistic optimization strategy. It is further divided into stochastic, robust, distributionally and chance-constrained optimizations. The topics systems covered this review paper. In order account for uncertainty processes, stochastic essential. Robust advanced approach optimize system under...
The curtailing of consumers’ peak hours demands and filling the gap caused by mismatch between generation utilization in power systems is a challenging task also very hot topic current research era. Researchers conventional grid traditional setup are confronting difficulties to figure out above problem. Smart technology can handle these issues efficiently. In smart grid, consumer demand be efficiently managed handled employing demand-side management (DSM) algorithms. general, DSM an...
The goal of this paper is to optimize energy consumption, with minimum consumer interaction, and least impact on his/her life style, comfort convenience. In the literature different demand side management (DSM) schemes are employed for management. Till now, best our knowledge none researchers considered consumers preferences, priorities, ease use, grid stability, deviation minimization, curve flattening implantation cost, collectively in a single scheme. we proposed an innovative,...
Peak power consumption is one of the most critical issues for system operation and sustainability. To overcome this issue, available energy resources may be utilized in an efficient way. Demand-side management (DSM) used utilization to reduce peak by rescheduling shiftable appliances. Apart from this, a number other objectives are also achieved DSM. In literature, DSM electricity cost, curtail hour's demand, diminish peak-to-average ratio, minimize distribution losses. best knowledge...
Energy management in residential buildings is one of the major keys for achieving ambitious goals efficient energy consumption, minimum carbon footprint, and reduced consumers expenditures. In this paper, we propose a novel (REM) approach that different from conventional approaches. We formulate REM problem with objective to maximize utility under various practical constraints include human interaction factor, unavailability power supply, preferences, priorities. These involve very high...
In the competitive business world of today, effective use information technologies is essential to a world's success. As result, sharing data and over Internet in an system could be risky. A comparative analysis these algorithms required due ever-changing nature security threats continuous advancements computer technology. Therefore, we evaluate performance strength AES, 3DES Blowfish algorithms. Security strength, throughput, memory usage, execution time are evaluation measures. Data from...
Copper Zinc Tin Selenide (CuZnTSe) cells have unique physical characteristics that make them incredibly well-suited to serve as a solar material for power absorption in contemporary optimized Thin Film Solar (TFSC). The goal of the proposed study is model novel hetero-structures CuZnTSe with and without NiO hole transport layer (HTL), namely AlZno2/Cds/CuZnTSe/Mb Al-Zno2/Cds/CuZnTSe/Nio2/Mb. To develop simulate properties cell its possible applications photovoltaic cells, simulation software...
False data injection (FDI) attacks commonly target smart grids. Using the tools that are now available for detecting incorrect data, it is not possible to identify FDI attacks. One way can be used machine learning. The purpose of this study analyse each six supervised learning (SVM-FS) hybrid techniques using different boosting and feature selection (FS) methodologies. A dataset from grid utilised in process determining applicability various technologies. Comparisons detection strategies...
Conventional methods of producing electricity are expensive, pollute the environment, need a lot maintenance, and eventually run out power. Because this, it is imperative to take use unrealized potential renewable energy sources that also ecologically beneficial. At Institute Southern Punjab (ISP), Multan, Pakistan geographical location coordinates latitude 30° 17′ 20′′ N longitude 71° 30′ 1′′ E. Current study developed an effective, long-lasting, environmentally friendly Grid Tie PV System...
Small scale renewable energy sources like photo-voltaic panels, wind turbines, etc can be easily installed on home roof top and such architecture minimize cost of load the main grid. Our approach is to generate at through (RE) resources store surplus in battery bank. If RE generation reserve fails satisfy load, then power supplied by The major work develop an autonomous system that manage all these effectively efficiently. Despite many advantages its drawback are weather climate dependent....
Electricity demand increasing day by with the passage of time, fossil fuels and traditional electricity sources are becoming obsolete. The possibility dealing a power deficit importing oil gas for generation exists developing nations like Pakistan. One most accessible affordable renewable energy in world is solar generating. Photovoltaic (PV) cell performance influenced environment technology used to capture available energy. Islamabad region Pakistan blessed an average 300 days sunshine...
Due to the proliferation of extended travel range electric vehicles (EVs), these will through different networks that might be served by utility companies. Therefore, we propose an architecture capable offering a charging service roaming vehicles. Furthermore, although energy internet supports both flow and information, it does not support seamless EV service, because is based on centralized architecture. The blockchain technology decentralized system has potential secure billing platform...
The main objective of protection schemes in power system is to identify and remove the faulty part as quickly possible. Coordinating distribution systems, which are frequently protected with overcurrent (OC) relays extremely difficult. Modern systems use variety distributed generators (DG) make operation reliable, but coordination OC a huge challenge for design engineers these DG integrated systems. This paper puts forward method develop mechanism over current networks that optimal,...
The optimal performance of direct current (DC) motors is intrinsically linked to their mathematical models’ precision and controllers’ effectiveness. However, the limited availability motor characteristic information poses significant challenges achieving accurate modeling robust control. This study introduces an approach employing artificial neural networks (ANNs) estimate critical DC parameters by defining practical constraints that simplify estimation process. A model was introduced for...
Power electronics devices have gained popularity in recent years due to their sophisticated and easy control with high power handling capabilities over other devices. In system the quality issues are major concerns, Automatic Transfer Switches (ATS) designed protect sensitive loads against problems such as Voltage Sags Interruptions. ATS uses two sources, that is main source a secondary source. When disturbance occurs source, it automatically transfers load an alternate This article focuses...