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Optimization approaches for demand-side management in the smart grid: A systematic map** study
S Mimi, Y Ben Maissa, A Tamtaoui - Smart Cities, 2023 - mdpi.com
Demand-side management in the smart grid often consists of optimizing energy-related
objective functions, with respect to variables, in the presence of constraints expressing …
objective functions, with respect to variables, in the presence of constraints expressing …
[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 …
Impacts of multiple demand-side management strategies on microgrids planning: a literature survey
Demand-side management (DSM) schemes play a crucial role in managing renewable
energy generation and load fluctuations by utilizing demand–response programmes …
energy generation and load fluctuations by utilizing demand–response programmes …
[HTML][HTML] A novel efficient energy optimization in smart urban buildings based on optimal demand side management
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 strategy for multi-objective energy optimization in smart grid considering renewable energy and batteries energy storage system
Multi-objective energy optimization is pivotal for reliable and secure power system
operation. However, multi-objective energy optimization is challenging due to …
operation. However, multi-objective energy optimization is challenging due to …
Demand response for optimal power usage scheduling considering time and power flexibility of load in smart grid
Demand response (DR) shaves peak energy consumption and drives energy conservation
to ensure reliable operation of power grid. With the emergence of the smart power grid …
to ensure reliable operation of power grid. With the emergence of the smart power grid …
An innovative cloud-fog-based smart grid scheme for efficient resource utilization
Smart grids (SGs) enhance the effectiveness, reliability, resilience, and energy-efficient
operation of electrical networks. Nonetheless, SGs suffer from big data transactions which …
operation of electrical networks. Nonetheless, SGs suffer from big data transactions which …
[HTML][HTML] Artificial intelligence-based forecasting models for integrated energy system management planning: An exploration of the prospects for South Africa
The regional energy demand for Southern Africa has been predicted to increase by ten to
fourteen times between the years 2010 and 2070. Thus, to address the proliferation of …
fourteen times between the years 2010 and 2070. Thus, to address the proliferation of …
Ensemble-learning-based decision support system for energy-theft detection in smart-grid environment
Theft of electricity poses a significant risk to the public and is the most costly non-technical
loss for an electrical supplier. In addition to affecting the quality of the energy supply and the …
loss for an electrical supplier. In addition to affecting the quality of the energy supply and the …
Integrated demand response optimization for consumer with herd mentality: a genetic simulated annealing approach
X Huo, J Yu, C Pang, Y Ding, J Zhang, C Zhao… - IEEE Access, 2024 - ieeexplore.ieee.org
In this paper, the integrated demand response (IDR) optimization problem is studied under
the consideration of herd mentality. The contradiction between power supply and demand is …
the consideration of herd mentality. The contradiction between power supply and demand is …