Results 11 to 20 of about 137,935 (294)
Probabilistic Interval Forecasting of Power Load Based on Structured Load Model
Zhongguo dianli, 2021 Probability interval forecasting has become one of the main methods for power load forecasting because of the uncertainties of power load. In order to solve the problem that the conventional probability interval forecasting methods cannot consider the ...
Chuanjun PANG +3 more
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ProLoaF: Probabilistic load forecasting for power systems
SoftwareX, 2023 Published by Elsevier, Amsterdam [u.a.]
Gonca Gürses-Tran +2 more
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Research on power load forecasting model of economic development zone based on neural network
Energy Reports, 2021 The power load forecasting model can calculate the predicted value accurately and quickly, which will be helpful to distribute the power reasonably and improve the stability of the power grid.
Qiming Feng, Suping Qian
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Energies, 2021 Short-term electrical load forecasting plays an important role in the safety, stability, and sustainability of the power production and scheduling process.
Xue-Bo Jin +6 more
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Energies, 2021 Load forecasting (LF) is essential in enabling modern power systems’ safety and economical transportation and energy management systems. The dynamic balance between power generation and load in the optimization of power systems is receiving increasing ...
Gwo-Ching Liao
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Load Classification and Forecasting for Temporary Power Installations [PDF]
2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), 2018 Temporary Power Installations (TPIs) serve energy at events (e.g., festivals), typically from on-site generation. As they become more prominent, there is a greater need for efficient configuration and optimal usage. Predictive modeling can help in this regard, however, this is particularly challenging due to limited data and high configuration ...
Arzam Muzaffar Kotriwala +2 more
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Applied Sciences, 2020 Accurate and reliable power load forecasting not only takes an important place in management and steady running of smart grid, but also has environmental benefits and economic dividends.
Ping Jiang, Ying Nie
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Multi-objective particle swarm optimization algorithm for multi-step electric load forecasting [PDF]
, 2020 As energy saving becomes more and more popular, electric load forecasting has played a more and more crucial role in power management systems in the last few years.
Chen, Yanhua +3 more
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Energies, 2021 With economic growth, the demand for power systems is increasingly large. Short-term load forecasting (STLF) becomes an indispensable factor to enhance the application of a smart grid (SG).
Yizhen Wang, Ningqing Zhang, Xiong Chen
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Residential Power Load Forecasting
Procedia Computer Science, 2014 AbstractThe prepaid electric power metering market is being driven in large part by advancements in and the adoption of Smart Grid technology. Advanced smart meters facilitate the deployment of prepaid systems with smart prepaid meters. A successful program hinges on the ability to accurately predict the amount of energy consumed on a daily basis for ...
Patrick Day +6 more
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