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Dr. Bilal got his BSc (1989), MSc (2001) and PhD (2019) in Electrical Engg. from UET, Lahore, UET,Taxila and Comsats Univ. Islamabad, Pakistan. He has got 30 years of professional experience in electric systems design for industrial power plants as lead engineer. He conducted research on electric & energy systems at renowned institutes. Research interests include algos for DSM, HEMS, energy economy, microgrid using AI, meta-heuristics & multiobjective optimization. Email: firstname.lastname@example.org
October 1990 - September 2020
- Design and development of Electrcal and Energy Systems
Demand side management (DSM) based on demand response (DR) has emerged as an effective method for energy management in a power system focusing consumer side. It enables consumers to participate in energy management through changing their energy usage pattern. DSM at home is implemented making use of an infrastructure called home energy management s...
Over the past few years, active research on algorithm development for the optimal operations of HEMSs has been performed. The objective is to compute optimized schedules for shiftable home appliances (SHAs). This is based on the demand response (DR) synergized with renewable energy sources (RESs) and ESS optimal dispatch (DRSREOD). An improved algo...
A demand response (DR) based home energy management systems (HEMS) synergies with renewable energy sources (RESs) and energy storage systems (ESSs). In this work, a three-step simulation based posteriori method is proposed to develop a scheme for eco-efficient operation of HEMS. The proposed method provides the trade-off between the net cost of ene...
This research focuses on a decomposed-weighted-sum particle swarm optimization (DWS-PSO) approach that is proposed for optimal operations of price-driven demand response (PDDR) and PDDR-synergized with the renewable and energy storage dispatch (PDDR-RED) based home energy management systems (HEMSs). The algorithm for PDDR-RED-based HEMS is develope...
Demand Side Management in Smart Grid This dissertation explores and identifies that home energy management systems (HEMSs) are used to implement demand side management in homes. Based on integration of renewable energy sources (RESs) and energy storage systems (ESSs), HEMS optimal operation (HEMO) is classified into price driven demand response (DR...
Home energy management systems (HEMSs) based on demand response (DR) synergized with renewable energy sources (RESs) and energy storage systems (ESSs) optimal dispatch (DRSREOD) are used to implement demand-side management in homes. Such HEMSs benefit the consumer and the utility by reducing energy bills, reducing peak demands, achieving overall en...
This dissertation explores and identifies that home energy management systems (HEMSs) are used to implement demand side management in homes. Based on integration of renewable energy sources (RESs) and energy storage systems (ESSs), HEMS operation (HEMO) is classified into demand response (DR) and DR synergized with RESs and ESSs optimal dispatch (D...