Short-Term Load Forecasting Using Radial Basis Function Neural Network

Journal of Computer and Communications

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"Short-Term Load Forecasting Using Radial Basis Function Neural Network"
written by Wen-Yeau Chang,
published by Journal of Computer and Communications, Vol.3 No.11, 2015

has been cited by the following article(s):

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[18]	ERROR EVALUATION TECHNIQUES OF SHORT-TERM LOAD FORECASTING IN POWER SYSTEMS
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[19]	Power load combination forecasting based on triangular fuzzy discrete difference equation forecasting model and PSO-SVR
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[20]	Hybrid ANN and Artificial Cooperative Search Algorithm to Forecast Short-Term Electricity Price in De-Regulated Electricity Market
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[21]	Different states of multi-block based forecast engine for price and load prediction
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[22]	A data-driven strategy for short-term electric load forecasting using dynamic mode decomposition model
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[23]	A Synthetic Forecast Engine for Wind Power Prediction
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[24]	Incorporating the influence of China's industrial backward capacity elimination policies in electricity demand forecasting
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[26]	Incorporating the influence of China's industrial capacity elimination policies in electricity demand forecasting
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[1]	Residential Electrical Long-Term Load Forecast Using Artificial Neural Network; Woji Estate 11/0.415 KV Feeder Port Harcourt, Nigeria African Journal of Electrical and Electronics Research, 2024 DOI:10.52589/AJEER-OBB3KMOH

[2]	Modelling and Distribution of Electricity Load Forecasting in Nigeria Power System (Olu-Ode Community) International Journal of Advanced Engineering and Nano Technology, 2024 DOI:10.35940/ijaent.A9769.11020224

[3]	An Efficient Framework for Short-Term Electricity Price Forecasting in Deregulated Power Market IEEE Access, 2024 DOI:10.1109/ACCESS.2021.3129449

[4]	Short-Term Load Foresting Using Combination of Linear and Non-Linear Models IEEE Access, 2024 DOI:10.1109/ACCESS.2024.3392592

[5]	Optimizing K-means clustering center selection with density-based spatial cluster in radial basis function neural network for load forecasting of smart solar microgrid Electrical Engineering, 2024 DOI:10.1007/s00202-024-02599-y

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[9]	GMINN: A Generative Moving Interactive Neural Network for Enhanced Short-Term Load Forecasting in Modern Electricity Markets IEEE Transactions on Consumer Electronics, 2024 DOI:10.1109/TCE.2024.3367885

[10]	Machine Learning-Enabled Internet of Things (IoT): Data, Applications, and Industry Perspective Electronics, 2022 DOI:10.3390/electronics11172676

[11]	Short-Term Solar and Wind Generation Forecasting for the Western Region of India 2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC), 2021 DOI:10.1109/APPEEC50844.2021.9687683

[12]	A Short-Term Load Forecasting Method Using Integrated CNN and LSTM Network IEEE Access, 2021 DOI:10.1109/ACCESS.2021.3060654

[13]	Intelligent forecast engine for short-term wind speed prediction based on stacked long short-term memory Neural Computing and Applications, 2021 DOI:10.1007/s00521-021-06016-4

[14]	Enhanced Short-Term Load Forecasting Using Artificial Neural Networks Energies, 2021 DOI:10.3390/en14227788

[15]	Different states of multi-block based forecast engine for price and load prediction International Journal of Electrical Power & Energy Systems, 2019 DOI:10.1016/j.ijepes.2018.07.014

[16]	Power load combination forecasting based on triangular fuzzy discrete difference equation forecasting model and PSO-SVR Journal of Intelligent & Fuzzy Systems, 2019 DOI:10.3233/JIFS-181717

[17]	Hybrid ANN and Artificial Cooperative Search Algorithm to Forecast Short-Term Electricity Price in De-Regulated Electricity Market IEEE Access, 2019 DOI:10.1109/ACCESS.2019.2938842

[18]	A Synthetic Forecast Engine for Wind Power Prediction 2018 7th International Conference on Renewable Energy Research and Applications (ICRERA), 2018 DOI:10.1109/ICRERA.2018.8567010

[19]	A data-driven strategy for short-term electric load forecasting using dynamic mode decomposition model Applied Energy, 2018 DOI:10.1016/j.apenergy.2018.09.190

[20]	Incorporating the influence of China's industrial capacity elimination policies in electricity demand forecasting Utilities Policy, 2017 DOI:10.1016/j.jup.2017.05.004

[21]	A new prediction model based on multi-block forecast engine in smart grid Journal of Ambient Intelligence and Humanized Computing, 2017 DOI:10.1007/s12652-017-0648-4

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