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Short Term Load Forecasting of Power System [PDF]
AIP Conference Proceedings, 2017 In order to ensure the scientific nature of optimization about power system, it is necessary to improve the load forecasting accuracy. Power system load forecasting is based on accurate statistical data and survey data, starting from the history and current situation of electricity consumption, with a scientific method to predict the future development
Jiahui Fan
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Short term power load forecasting using Deep Neural Networks [PDF]
2017 International Conference on Computing, Networking and Communications (ICNC), 2017 Accurate load forecasting greatly influences the planning processes undertaken in operation centres of energy providers that relate to the actual electricity generation, distribution, system maintenance as well as electricity pricing. This paper exploits
Marnerides, Angelos, Ud Din, Ghulam Mohi
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Short-term power load forecasting based on the CEEMDAN-TCN-ESN model. [PDF]
PLoS ONE, 2023 Ensuring an adequate electric power supply while minimizing redundant generation is the main objective of power load forecasting, as this is essential for the power system to operate efficiently.
Jiacheng Huang +2 more
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Short-term power load forecasting method based on Bagging-stochastic configuration networks. [PDF]
PLoS ONEAccurate short-term load forecasting is of great significance in improving the dispatching efficiency of power grids, ensuring the safe and reliable operation of power grids, and guiding power systems to formulate reasonable production plans and reduce ...
Xinfu Pang +4 more
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Short-term power load forecasting based on gray relational analysis and support vector machine optimized by artificial bee colony algorithm [PDF]
PeerJ Computer Science, 2022 Short-term power load forecasting is essential in ensuring the safe operation of power systems and a prerequisite in building automated power systems.
Xinfu Pang +4 more
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Fusion Forecasting Algorithm for Short-Term Load in Power System [PDF]
EnergiesShort-term load forecasting plays an important role in power system scheduling, optimization, and maintenance, but no existing typical method can consistently maintain high prediction accuracy.
Tao Yu +4 more
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Multivariate Adaptive Step Fruit Fly Optimization Algorithm Optimized Generalized Regression Neural Network for Short-Term Power Load Forecasting [PDF]
Frontiers in Environmental Science, 2022 Short-term load forecasting plays a significant role in the management of power plants. In this paper, we propose a multivariate adaptive step fruit fly optimization algorithm (MAFOA) to optimize the smoothing parameter of the generalized regression ...
Feng Jiang, Wenya Zhang, Zijun Peng
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EAI Endorsed Transactions on Energy WebA reliable supply of power systems is critical for industry, commerce, and residential life. Improving the accuracy and reliability of short-term electricity load forecasting plays a crucial role in ensuring the satisfaction of electricity demand and ...
Tianyun Luo +5 more
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Short-term Power Load Forecasting Based on Machine Learning
, 2020 Short-term power load forecasting is an important part of power system management.It is the premise of network structure planing, electricity tradingand load scheduling. The accuracy of power load forecasting is directly relatedto power system security, stability and economic operation.
Yusen Wang
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Short-term power load forecasting based on I-GWO-KELM algorithm [PDF]
MATEC Web of Conferences, 2021 In this paper, I-GWO-KELM algorithm is used for short-term power load forecasting. Normalize the power data and meteorological data of the short-term power load, and use GWO to optimize the regularization coefficient of KELM and the RBF kernel parameters.
Chen Xiaoyu, Dong Xiangli, Shi Li
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