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A comprehensive review of the load forecasting techniques using single and hybrid predictive models
Load forecasting is a pivotal part of the power utility companies. To provide load-shedding
free and uninterrupted power to the consumer, decision-makers in the utility sector must …
free and uninterrupted power to the consumer, decision-makers in the utility sector must …
Demand response-integrated investment and operational planning of renewable and sustainable energy systems considering forecast uncertainties: A systematic …
The parametric uncertainties inherent in the models of renewable and sustainable energy
systems (RSESs) make the associated decision-making processes of integrated resource …
systems (RSESs) make the associated decision-making processes of integrated resource …
[HTML][HTML] Computational intelligence approaches for energy load forecasting in smart energy management grids: state of the art, future challenges, and research …
Energy management systems are designed to monitor, optimize, and control the smart grid
energy market. Demand-side management, considered as an essential part of the energy …
energy market. Demand-side management, considered as an essential part of the energy …
Modeling and control of building-integrated microgrids for optimal energy management–a review
H Fontenot, B Dong - Applied Energy, 2019 - Elsevier
This paper reviews the system components, modeling, and control of microgrids for future
smart buildings in current literature. Microgrids are increasingly widely studied due to their …
smart buildings in current literature. Microgrids are increasingly widely studied due to their …
A hybrid method of cooling load forecasting for large commercial building based on extreme learning machine
Z Gao, J Yu, A Zhao, Q Hu, S Yang - Energy, 2022 - Elsevier
Air conditioning system is extensively used in large commercial buildings. The fast and
accurate building cooling load forecasting is the basis for improving the operation efficiency …
accurate building cooling load forecasting is the basis for improving the operation efficiency …
[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 …
Analytic hierarchy process (AHP)–swarm intelligence based flexible demand response management of grid-connected microgrid
The integration of demand response programs (DRP) into the microgrid energy
management system can enhance the load characteristics by enabling the active …
management system can enhance the load characteristics by enabling the active …
A review of demand-side management: Reconsidering theoretical framework
AF Meyabadi, MH Deihimi - Renewable and Sustainable Energy Reviews, 2017 - Elsevier
Demand-side management (DSM) has a crucial role in the attainment of sustainable energy
that aims to optimize the energy utilization and mitigate emissions. Hence, DSM enhances …
that aims to optimize the energy utilization and mitigate emissions. Hence, DSM enhances …
[HTML][HTML] Renewable energy system controlled by open-source tools and digital twin model: zero energy port area in Italy
The present paper deals with an infrastructure digitization policy to optimize maintenance
processes and energy efficiency to transform port areas to ZED (Zero Energy District). The …
processes and energy efficiency to transform port areas to ZED (Zero Energy District). The …
Energy management in microgrid based on the multi objective stochastic programming incorporating portable renewable energy resource as demand response option
Renewable energy resources are often known as cost-effective and lucrative resources and
have been widely developed due to environmental-economic issues. Renewable energy …
have been widely developed due to environmental-economic issues. Renewable energy …