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[HTML][HTML] Particle swarm optimization in residential demand-side management: A review on scheduling and control algorithms for demand response provision
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 …
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
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 …
Modelling of a multi-stage energy management control routine for energy demand forecasting, flexibility, and optimization of smart communities using a Recurrent …
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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 …
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
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 …
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
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 …
been increasing at a fast rate. Depending on the number of power conversion units and their …