Review of optimal methods and algorithms for sizing energy storage systems to achieve decarbonization in microgrid applications
Carbon emission from the burning of fossil fuel has resulted in global warming. Climate
change and global warming are among the most complex issues requiring immediate …
change and global warming are among the most complex issues requiring immediate …
A hybrid forecasting model based on CNN and informer for short-term wind power
HK Wang, K Song, Y Cheng - Frontiers in Energy Research, 2022 - frontiersin.org
Wind power prediction reduces the uncertainty of an entire energy system, which is very
important for balancing energy supply and demand. To improve the prediction accuracy, an …
important for balancing energy supply and demand. To improve the prediction accuracy, an …
High-level penetration of renewable energy sources into grid utility: Challenges and solutions
The utilization of renewable energy sources (RESs) has become significant throughout the
world, especially over the last two decades. Although high-level RESs penetration reduces …
world, especially over the last two decades. Although high-level RESs penetration reduces …
[HTML][HTML] Wind power prediction based on EEMD-Tent-SSA-LS-SVM
Z Li, X Luo, M Liu, X Cao, S Du, H Sun - Energy Reports, 2022 - Elsevier
To solve the wind power prediction problem, the Improved Sparrow Search Algorithm-Least
Squares Support Vector Machine (ISSA-LS-SVM) prediction model based on chaotic …
Squares Support Vector Machine (ISSA-LS-SVM) prediction model based on chaotic …
An improved deep belief network based hybrid forecasting method for wind power
S Hu, Y Xiang, D Huo, S Jawad, J Liu - Energy, 2021 - Elsevier
The stochastic nature of wind speed hinders the forecasting of wind power generation. To
improve the accuracy of wind power forecasting and effectively utilize the capability of …
improve the accuracy of wind power forecasting and effectively utilize the capability of …
Optimal design and sizing of renewable energies in microgrids based on financial considerations a case study of Biskra, Algeria
A Chebabhi, I Tegani, AD Benhamadouche… - Energy Conversion and …, 2023 - Elsevier
Integration of renewable energy sources in microgrids is a challenging process, where a
wealth of metrics should be optimized together to achieve an optimal design. This paper …
wealth of metrics should be optimized together to achieve an optimal design. This paper …
Probabilistic prediction of wind speed using an integrated deep belief network optimized by a hybrid multi-objective particle swarm algorithm
An improvement in wind speed prediction is highly necessary for estimating the accuracy as
well as stability of wind power. In this work, we proposed probabilistic forecasts of wind …
well as stability of wind power. In this work, we proposed probabilistic forecasts of wind …
Peer-to-peer energy transaction mechanisms considering fairness in smart energy communities
This study presents peer-to-peer (P2P) energy transaction mechanisms to maximize social
welfare considering the uncertainty and profit fairness of the players. The P2P energy …
welfare considering the uncertainty and profit fairness of the players. The P2P energy …
Nationwide sustainable renewable energy and Power-to-X deployment planning in South Korea assisted with forecasting model
The urge to increase renewable energy penetration into the power supply mix has been
frequently highlighted in response to climate change. South Korea was analyzed as a case …
frequently highlighted in response to climate change. South Korea was analyzed as a case …
Optimized economic operation of energy storage integration using improved gravitational search algorithm and dual stage optimization
This paper presents optimized energy storage and distribution network model under
uncertainty of the power generation problem, based on an improved gravitational search …
uncertainty of the power generation problem, based on an improved gravitational search …