Short-Term Load Forecasting Using Radial Basis Function Neural Network

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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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[1]	Machine Learning-Enabled Internet of Things (IoT): Data, Applications, and Industry Perspective
	Electronics, 2022

[2]	Enhanced Short-Term Load Forecasting Using Artificial Neural Networks
	Energies, 2021

[3]	An efficient framework for short-term electricity price forecasting in deregulated power market
	IEEE …, 2021

[4]	Short-Term Solar and Wind Generation Forecasting for the Western Region of India
	2021 13th IEEE PES …, 2021

[5]	Use of Artificial Neural Networks for Short Term Load Forecasting
	25th Pan-Hellenic Conference on Informatics, 2021

[6]	Forecasting power consumption based on historical data
	2021

[7]	A Short-Term Load Forecasting Method Using Integrated CNN and LSTM Network
	2021

[8]	Intelligent forecast engine for short-term wind speed prediction based on stacked long short-term memory
	2021

[9]	ShortTerm Load Forecasting Using Artificial Neural Networks
	2021

[10]	Forecasting the Global Horizontal Irradiance based on Boruta Algorithm and Artificial Neural Networks using a Lower Cost
	2020

[11]	ERROR EVALUATION TECHNIQUES OF SHORT-TERM LOAD FORECASTING IN POWER SYSTEMS
	2020

[12]	Power load combination forecasting based on triangular fuzzy discrete difference equation forecasting model and PSO-SVR
	Journal of Intelligent & Fuzzy Systems, 2019

[13]	Hybrid ANN and Artificial Cooperative Search Algorithm to Forecast Short-Term Electricity Price in De-Regulated Electricity Market
	2019

[14]	Different states of multi-block based forecast engine for price and load prediction
	International Journal of Electrical Power & Energy Systems, 2019

[15]	A data-driven strategy for short-term electric load forecasting using dynamic mode decomposition model
	Applied Energy, 2018

[16]	A Synthetic Forecast Engine for Wind Power Prediction
	2018

[17]	Incorporating the influence of China's industrial backward capacity elimination policies in electricity demand forecasting
	Utilities Policy, 2017

[18]	A new prediction model based on multi-block forecast engine in smart grid
	Journal of Ambient Intelligence and Humanized Computing, 2017

[19]	Incorporating the influence of China's industrial capacity elimination policies in electricity demand forecasting
	Utilities Policy, 2017

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

[2]	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

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

[4]	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

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

[6]	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

[7]	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

[8]	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

[9]	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

[10]	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

[11]	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

[12]	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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