Particle swarm optimization in residential demand-side management: A review on scheduling and control algorithms for demand response provision

C Menos-Aikateriniadis, I Lamprinos, PS Georgilakis - Energies, 2022 - mdpi.com
Power distribution networks at the distribution level are becoming more complex in their
behavior and more heavily stressed due to the growth of decentralized energy sources …

[HTML][HTML] Deep learning methods utilization in electric power systems

S Akhtar, M Adeel, M Iqbal, A Namoun, A Tufail… - Energy Reports, 2023 - Elsevier
The fast expansion of renewable energy sources, rising electricity demand, and the
requirement for improved grid dependability have made it necessary to create cutting-edge …

[HTML][HTML] Advanced energy technologies, methods, and policies to support the sustainable development of energy, water and environment systems

A Buonomano, G Barone, C Forzano - Energy Reports, 2022 - Elsevier
This editorial discusses the contributions of the papers belonging to the virtual special issue
(VSI) of Energy Reports dedicated to the series of four SDEWES Conferences on …

Modelling of a multi-stage energy management control routine for energy demand forecasting, flexibility, and optimization of smart communities using a Recurrent …

A Petrucci, G Barone, A Buonomano… - Energy Conversion and …, 2022 - Elsevier
This paper proposes an innovative algorithm for community energy management control,
able to involve customers in energy trading by exploiting their potential energy flexibility. The …

A survey of efficient demand-side management techniques for the residential appliance scheduling problem in smart homes

A Shewale, A Mokhade, N Funde, ND Bokde - Energies, 2022 - mdpi.com
The residential sector is a major contributor to the global energy demand. The energy
demand for the residential sector is expected to increase substantially in the next few …

A review on the applications of PSO-based algorithm in demand side management: challenges and opportunities

FA Zaini, MF Sulaima, IAWA Razak, NI Zulkafli… - IEEE …, 2023 - ieeexplore.ieee.org
The increase in energy consumption, environmental pollution issues, and low-carbon
agenda has grown the research area of demand side management (DSM). DSM programs …

Peer-to-peer energy trading among smart homes considering responsive demand and interactive visual interface for monitoring

H Görgülü, Y Topçuoğlu, A Yaldız, T Gökçek… - … Energy, Grids and …, 2022 - Elsevier
Increasing demand due to the technological advancements and population expansion
poses some issues in terms of environmental considerations and establishment of a …

Optimization of social welfare and mitigating privacy risks in P2P energy trading: Differential privacy for secure data reporting

SA Ahmed, Q Huang, Z Zhang, J Li, W Amin, M Afzal… - Applied Energy, 2024 - Elsevier
With the growing demand for energy and the integration of distributed energy resources
(DERs), Peer-to-Peer (P2P) energy trading has emerged as a promising approach that …

Systematic review on deep reinforcement learning-based energy management for different building types

A Shaqour, A Hagishima - Energies, 2022 - mdpi.com
Owing to the high energy demand of buildings, which accounted for 36% of the global share
in 2020, they are one of the core targets for energy-efficiency research and regulations …

[HTML][HTML] Developing future retail electricity markets with a customer-centric focus

H Hampton, AM Foley, DF Del Rio, B Sovacool - Energy Policy, 2022 - Elsevier
Future retail electricity markets require development to accelerate the net-zero carbon
transition. Adopting a customer-centric approach to market design is necessary to fully utilise …