[HTML][HTML] 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 …

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 …

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 …

Optimal model for local energy community scheduling considering peer to peer electricity transactions

R Faia, J Soares, T Pinto, F Lezama, Z Vale… - IEEE …, 2021 - ieeexplore.ieee.org
The current energy strategy of the European Union puts the end-user as a key participant in
electricity markets. The creation of energy communities has been encouraged by the …

Efficient energy scheduling considering cost reduction and energy saving in hybrid energy system with energy storage

A Bouakkaz, AJG Mena, S Haddad, ML Ferrari - Journal of Energy Storage, 2021 - Elsevier
The increase in energy demand, including peak power demand for electricity is one of the
most important aspects to be considered in the electricity sector, as it has a negative impact …

[HTML][HTML] Predicting crop yields using a new robust Bayesian averaging model based on multiple hybrid ANFIS and MLP models

O Bazrafshan, M Ehteram, SD Latif, YF Huang… - Ain Shams Engineering …, 2022 - Elsevier
Predicting crop yield is an important issue for farmers. Food security is important for decision-
makers. The agriculture industry can more accurately supply human demand for food if the …

[HTML][HTML] A robust model for aggregated bidding of energy storages and wind resources in the joint energy and reserve markets

M Khojasteh, P Faria, Z Vale - Energy, 2022 - Elsevier
The high reliability and flexibility of Battery Energy Storage (BES) resources in comparison
with other renewable technologies promote the development of this technology in smart …

Multi-objective optimal scheduling of household appliances for demand side management using a hybrid heuristic algorithm

Y Liu, H Li, J Zhu, Y Lin, W Lei - Energy, 2023 - Elsevier
In the era of smart grids and the Internet of Things, demand side management, which aims to
reduce electricity bills while increasing user satisfaction by scheduling appliances properly …

Market models and optimization techniques to support the decision-making on demand response for prosumers

WN Silva, LF Henrique, AFPC Silva, BH Dias… - Electric Power Systems …, 2022 - Elsevier
Demand Response (DR) programs are essential for easing end-user demand on the power
system, adding benefits across the power sector by reducing peak demand and power flow …

[HTML][HTML] Reliability evaluation of PV systems with integrated battery energy storage systems: DC-coupled and AC-coupled configurations

M Sandelic, A Sangwongwanich, F Blaabjerg - Electronics, 2019 - mdpi.com
Deployment of a battery energy storage system for the photovoltaic (PV) application has
been increasing at a fast rate. Depending on the number of power conversion units and their …