Prospects and challenges of the machine learning and data-driven methods for the predictive analysis of power systems: A review
W Strielkowski, A Vlasov, K Selivanov, K Muraviev… - Energies, 2023 - mdpi.com
The use of machine learning and data-driven methods for predictive analysis of power
systems offers the potential to accurately predict and manage the behavior of these systems …
systems offers the potential to accurately predict and manage the behavior of these systems …
[HTML][HTML] A review on microgrid optimization with meta-heuristic techniques: Scopes, trends and recommendation
Microgrids (MGs) use renewable sources to meet the growing demand for energy with
increasing consumer needs and technological advancement. They operate independently …
increasing consumer needs and technological advancement. They operate independently …
[HTML][HTML] A new optimized demand management system for smart grid-based residential buildings adopting renewable and storage energies
Abstract Demand Side Management (DSM) implies intelligently managing load appliances
in a Smart Grid (SG). DSM programs help customers save money by reducing their electricity …
in a Smart Grid (SG). DSM programs help customers save money by reducing their electricity …
Operation of grid-connected PV system with ANN-based MPPT and an optimized LCL filter using GRG algorithm for enhanced power quality
NF Ibrahim, MM Mahmoud, AMH Al Thaiban… - IEEE …, 2023 - ieeexplore.ieee.org
The expanding use of photovoltaics (PV) as a green energy resource has been rising in
these years, mostly due to the possibility of being incorporated with traditional power …
these years, mostly due to the possibility of being incorporated with traditional power …
Optimized sizing of energy management system for off-grid hybrid solar/wind/battery/biogasifier/diesel microgrid system
Recent advances in electric grid technology have led to sustainable, modern, decentralized,
bidirectional microgrids (MGs). The MGs can support energy storage, renewable energy …
bidirectional microgrids (MGs). The MGs can support energy storage, renewable energy …
Efficient optimization algorithm-based demand-side management program for smart grid residential load
Incorporating demand-side management (DSM) into residential energy guarantees dynamic
electricity management in the residential domain by allowing consumers to make early …
electricity management in the residential domain by allowing consumers to make early …
A review on the applications of PSO-based algorithm in demand side management: challenges and opportunities
The increase in energy consumption, environmental pollution issues, and low-carbon
agenda has grown the research area of demand side management (DSM). DSM programs …
agenda has grown the research area of demand side management (DSM). DSM programs …
Coordination control of a hybrid AC/DC smart microgrid with online fault detection, diagnostics, and localization using artificial neural networks
In this paper, a solar and wind renewable energies-based hybrid AC/DC microgrid (MG) is
proposed for minimizing the number of DC/AC/DC power conversion processes. High …
proposed for minimizing the number of DC/AC/DC power conversion processes. High …
Simultaneous community energy supply-demand optimization by microgrid operation scheduling optimization and occupant-oriented flexible energy-use regulation
Community microgrids represent a pivotal solution for addressing energy conservation and
reducing carbon emissions. However, few studies focused on the methods of concurrently …
reducing carbon emissions. However, few studies focused on the methods of concurrently …
A new decentralized robust secondary control for smart islanded microgrids
Dealing with the islanded operation of a microgrid (MG), the micro sources must cooperate
autonomously to regulate the voltage and frequency of the local power grid. Droop controller …
autonomously to regulate the voltage and frequency of the local power grid. Droop controller …