From graph theory to graph neural networks (GNNs): The opportunities of GNNs in power electronics
Graph theory within power electronics, developed over a 50-year span, is continually
evolving, necessitating ongoing research endeavors. Facing with the never-been-seen …
evolving, necessitating ongoing research endeavors. Facing with the never-been-seen …
[HTML][HTML] A new methodology for reducing carbon emissions using multi-renewable energy systems and artificial intelligence
BN Alhasnawi, SMM Almutoki, FFK Hussain… - Sustainable Cities and …, 2024 - Elsevier
Microgrid cost management is a significant difficulty because the energy generated by
microgrids is typically derived from a variety of renewable and non-renewable sources …
microgrids is typically derived from a variety of renewable and non-renewable sources …
[HTML][HTML] A novel economic dispatch in the stand-alone system using improved butterfly optimization algorithm
Distributed renewable energy systems are now widely installed in many buildings,
transforming the buildings into 'electricity prosumers'. Additionally, managing shared energy …
transforming the buildings into 'electricity prosumers'. Additionally, managing shared energy …
A review of recent control techniques of drooped inverter‐based AC microgrids
As the penetration of distributed generation (DG) systems in the grid is increasing, the
challenge of combining large numbers of DGs in the power systems has to be carefully …
challenge of combining large numbers of DGs in the power systems has to be carefully …
[HTML][HTML] A novel efficient energy optimization in smart urban buildings based on optimal demand side management
BN Alhasnawi, BH Jasim, AN Alhasnawi… - Energy Strategy …, 2024 - Elsevier
Increasing electrical energy consumption during peak hours leads to increased electrical
energy losses and the spread of environmental pollution. For this reason, demand-side …
energy losses and the spread of environmental pollution. For this reason, demand-side …
A multi-objective improved cockroach swarm algorithm approach for apartment energy management systems
The electrical demand and generation in power systems is currently the biggest source of
uncertainty for an electricity provider. For a dependable and financially advantageous …
uncertainty for an electricity provider. For a dependable and financially advantageous …
[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 …
A new Internet of Things based optimization scheme of residential demand side management system
The steady increase in the energy demand and the growing carbon footprint has forced
electricity‐based utilities to shift from their use of non‐renewable energy sources to …
electricity‐based utilities to shift from their use of non‐renewable energy sources to …
A novel internet of energy based optimal multi-agent control scheme for microgrid including renewable energy resources
BN Alhasnawi, BH Jasim, ZASA Rahman… - International Journal of …, 2021 - mdpi.com
The increasing integration of Renewable Energy Resources (RERs) in distribution networks
forms the Networked Renewable Energy Resources (NRERs). The cooperative Peer-to …
forms the Networked Renewable Energy Resources (NRERs). The cooperative Peer-to …
A novel real-time electricity scheduling for home energy management system using the internet of energy
This paper presents a novel scheduling scheme for the real-time home energy management
systems based on Internet of Energy (IoE). The scheme is a multi-agent method that …
systems based on Internet of Energy (IoE). The scheme is a multi-agent method that …