A novel intelligent optimal control methodology for energy balancing of microgrids with renewable energy and storage batteries

H Alghamdi, TA Khan, LG Hua, G Hafeez, I Khan… - Journal of Energy …, 2024 - Elsevier
A price-based demand response (DR) program is essential for maintaining energy balance
in a smart power grid (SPG). Given the uncertainty and stochastic nature of renewable …

The Delphi Method

G Ismail, N Taliep - Handbook of social sciences and global public health, 2023 - Springer
Abstract Researchers in Social Sciences and Global Public Health have found the Delphi
method to be a successful tool for identifying and prioritizing issues in decision-making. The …

An optimal adaptive control strategy for energy balancing in smart microgrid using dynamic pricing

FR Albogamy, M Zakria, TA Khan, S Murawwat… - IEEE …, 2022 - ieeexplore.ieee.org
Energy balancing in smart microgrid plays a vital role to improve the reliability and resolves
the load shedding problem to ensure consistent energy supply. However, energy balancing …

[HTML][HTML] Closed-loop elastic demand control under dynamic pricing program in smart microgrid using super twisting sliding mode controller

TA Khan, K Ullah, G Hafeez, I Khan, A Khalid, Z Shafiq… - Sensors, 2020 - mdpi.com
Electricity demand is rising due to industrialisation, population growth and economic
development. To meet this rising electricity demand, towns are renovated by smart cities …

A fractional order super twisting sliding mode controller for energy management in smart microgrid using dynamic pricing approach

TA Khan, A Ullah, G Hafeez, I Khan, S Murawwat, F Ali… - Energies, 2022 - mdpi.com
A real-time energy management strategy using dynamic pricing mechanism by deploying a
fractional order super twisting sliding mode controller (FOSTSMC) is proposed for …

Simulation of household appliances with energy disaggrigation using deep learning technique

BM Nandish, V Pushparajesh - 2021 International Conference …, 2021 - ieeexplore.ieee.org
Energy disaggregation is one of the major concerns in the modern power management in
domestic utilities. Main aim is to read the individual load appliance readings from the whole …

A Hybrid Heuristic Algorithm for Energy Management in Electricity Market with Demand Response and Distributed Generators

FR Albogamy - Applied Sciences, 2023 - mdpi.com
Optimal energy management trends are indispensable in improving the power grid's
reliability. However, power usage scheduling for energy management (EM) poses several …

Day-Ahead Scheduling Model Based on Supply-Demand Interaction Mode Considering Production Process of Short-Process Steel Enterprise

H Wang, L Zhang, Y Ren, L Meng - 2020 IEEE 3rd Student …, 2020 - ieeexplore.ieee.org
With the increasing penetration of renewable energy, making full use of the load-side
adjustable resources has become an inevitable choice for power grid dispatching to …

[HTML][HTML] A multivariate load trading optimization method for energy internet based on lstm and gaming theory

M Pan, S Tian, J Yuan, S Chen, S He - Energies, 2021 - mdpi.com
Energy Internet is a complex nonlinear system. There are many stakeholders in the load
trading market, which is usually regarded as a multi-player gaming. Although gaming theory …

A Home LPM System Based on WSN

SM Abood, KK Abdalla, S Alwash - International Conference on …, 2023 - Springer
The past decade has seen intensive research efforts to control electrical power
consumption, reduce electrical overruns and wastes, and frequent consumption in …