Results 41 to 50 of about 3,806,141 (312)
Regression Model-Based Short-Term Load Forecasting for University Campus Load
IEEE Access, 2022 Load forecasting is a critical aspect for power systems planning, operation and control. In this paper, as part of research efforts of an ambitious project at Memorial University of Newfoundland in St. John’s, Canada, to achieve more energy efficient and
M. Madhukumar +4 more
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Energy and AI, 2022 Electricity load forecasting is an important part of power system dispatching. Accurately forecasting electricity load have great impact on a number of departments in power systems.
Fabiano Pallonetto +2 more
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Machine Learning for Short-Term Load Forecasting in Smart Grids
Energies, 2022 A smart grid is the future vision of power systems that will be enabled by artificial intelligence (AI), big data, and the Internet of things (IoT), where digitalization is at the core of the energy sector transformation.
Bibi Ibrahim +3 more
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A Comprehensive Study of Random Forest for Short-Term Load Forecasting
Energies, 2022 Random forest (RF) is one of the most popular machine learning (ML) models used for both classification and regression problems. As an ensemble model, it demonstrates high predictive accuracy and low variance, while being easy to learn and optimize.
Grzegorz Dudek
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Combining Probabilistic Load Forecasts [PDF]
IEEE Transactions on Smart Grid, 2019 Submitted to IEEE Transactions on Smart ...
Yi Wang +5 more
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Ekonomìčnij Vìsnik Nacìonalʹnogo Tehnìčnogo Unìversitetu Ukraïni "Kiïvsʹkij Polìtehnìčnij Institut", 2021 In this article, analytical and prognostic model of the information system load was performed, which in metric terms is based on the number of requests to the system per second. The studied statistical data of this indicator outline the main trajectory of its time series, which allows to find patterns of the past and predict the ...
Zhukovska, O. A., Shperlov, R. V.
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Random vector functional link neural network based ensemble deep learning for short-term load forecasting [PDF]
Expert systems with applications, 2021 Electricity load forecasting is crucial for the power systems' planning and maintenance. However, its un-stationary and non-linear characteristics impose significant difficulties in anticipating future demand.
Ruobin Gao +4 more
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Research on Intelligent Power Load Forecasting Algorithm Based on Empirical Mode Decomposition
Chemical Engineering Transactions, 2017 The load forecasting of power system is related to the dispatching operation and production planning of power system. Accurate load forecasting can improve the safety and stability of the system and reduce the cost of power generation. The load variation
Qinghua Chen
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Shanghai Jiaotong Daxue xuebao, 2021 At present, new elements such as distributed new energy and electric vehicles have emerged in the distribution network, which changes the composition of loads, enriches the connotation of loads, and poses severe challenges to load forecasting.
TAN Jia, LI Zhiyi, YANG Huan, ZHAO Rongxiang, JU Ping
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Efficient building load forecasting [PDF]
ETFA2011, 2011 The arrival of the smart grid paradigm has brought a number of novel initiatives that aim at increasing the level of energy efficiency of buildings such as smart metering or demand side management. Still, all of them demand an accurate load estimation.
Ivan Fernandez +2 more
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