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A novel intelligent optimal control methodology for energy balancing of microgrids with renewable energy and storage batteries
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 …
in a smart power grid (SPG). Given the uncertainty and stochastic nature of renewable …
The Delphi Method
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 …
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
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 …
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
Electricity demand is rising due to industrialisation, population growth and economic
development. To meet this rising electricity demand, towns are renovated by smart cities …
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
A real-time energy management strategy using dynamic pricing mechanism by deploying a
fractional order super twisting sliding mode controller (FOSTSMC) is proposed for …
fractional order super twisting sliding mode controller (FOSTSMC) is proposed for …
Simulation of household appliances with energy disaggrigation using deep learning technique
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 …
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 …
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 …
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 …
trading market, which is usually regarded as a multi-player gaming. Although gaming theory …
A Home LPM System Based on WSN
The past decade has seen intensive research efforts to control electrical power
consumption, reduce electrical overruns and wastes, and frequent consumption in …
consumption, reduce electrical overruns and wastes, and frequent consumption in …