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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
core +6 more sources
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.
Huang J, Zhang X, Jiang X.
europepmc +2 more sources
Ship power load forecasting based on PSO-SVM
Mathematical Biosciences and Engineering, 2022 <abstract> <p>Compared with the land power grid, power capacity of ship power system is small, its power load has randomness. Ship power load forecasting is of great significance for the stability and safety of ship power system. Support vector machine (SVM) load forecasting algorithm is a common method of ship power load forecasting.
Xiaoqiang Dai +2 more
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Power Load Forecasting Using BiLSTM-Attention
IOP Conference Series: Earth and Environmental Science, 2020 Abstract With the development of big data and artificial intelligence, the applications of smart grid have received extensive attention. Specifically, accurate power system load forecasting plays an important role in the safety and stability of the power system production scheduling process.
Jie Du +5 more
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Intelligent Systems for Power Load Forecasting: A Study Review [PDF]
Energies, 2020 The study of power load forecasting is gaining greater significance nowadays, particularly with the use and integration of renewable power sources and external power stations. Power forecasting is an important task in the planning, control, and operation of utility power systems.
Ibrahim Salem Jahan +2 more
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ProLoaF: Probabilistic load forecasting for power systems
SoftwareX, 2023 Published by Elsevier, Amsterdam [u.a.]
Gürses-Tran, Gonca +2 more
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Adaboost-Based Power System Load Forecasting
Journal of Physics: Conference Series, 2021 Abstract This study presented a penetrating insight into the basic principle of ensemble learning and the ensemble technique Boosting, and deduced the theoretical model and learning principle of the adaptive ensemble learning. Besides, it proposed a Adaboost-based power system load forecasting method, and validated the effectiveness of ...
WuNeng Ling +6 more
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IEEE Open Journal of the Industrial Electronics Society, 2023 The application of smart meters was delayed, leading to sparse power load data collection in industrial and commercial buildings, often encompassing only days to a few months of data.
Yushan Liu, Zhouchi Liang, Xiao Li
semanticscholar +1 more source
Long-Term Power Load Forecasting Using LSTM-Informer with Ensemble Learning
Electronics, 2023 Accurate power load forecasting can facilitate effective distribution of power and avoid wasting power so as to reduce costs. Power load is affected by many factors, so accurate forecasting is more difficult, and the current methods are mostly aimed at ...
Kun Wang +3 more
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Short-Term Power Load Forecasting Based on PSO-Optimized VMD-TCN-Attention Mechanism
Energies, 2023 A new prediction framework is proposed to improve short-term power load forecasting accuracy. The framework is based on particle swarm optimization (PSO)-variational mode decomposition (VMD) combined with a time convolution network (TCN) embedded ...
Guanchen Geng +4 more
semanticscholar +1 more source