Citations (23)
Keep up to date with the latest research on this topic with citation updates for this article.
Read on this site (5)
Sajad Tabatabaei. (2017) A probabilistic neural network based approach for predicting the output power of wind turbines. Journal of Experimental & Theoretical Artificial Intelligence 29:2, pages 273-285.
Read now
Read now
Abdollah Kavousi Fard & Mohammad-Reza Akbari-Zadeh. (2014) A hybrid method based on wavelet, ANN and ARIMA model for short-term load forecasting. Journal of Experimental & Theoretical Artificial Intelligence 26:2, pages 167-182.
Read now
Read now
Abdollah Kavousi-Fard & Farzaneh Kavousi-Fard. (2013) A new hybrid correction method for short-term load forecasting based on ARIMA, SVR and CSA. Journal of Experimental & Theoretical Artificial Intelligence 25:4, pages 559-574.
Read now
Read now
Ali Azadeh, Morteza Saberi & Anahita Gitiforouz. (2011) An integrated simulation-based fuzzy regression-time series algorithm for electricity consumption estimation with non-stationary data. Journal of the Chinese Institute of Engineers 34:8, pages 1047-1066.
Read now
Read now
A. Demiroren & G. Ceylan. (2006) Middle Anatolian Region Short-Term Load Forecasting Using Artificial Neural Networks. Electric Power Components and Systems 34:6, pages 707-724.
Read now
Read now
Articles from other publishers (18)
Zoran Janković, Aleksandar Selakov, Duško Bekut & Marija Đorđević. (2021) Day similarity metric model for short-term load forecasting supported by PSO and artificial neural network. Electrical Engineering 103:6, pages 2973-2988.
Crossref
Crossref
Fuhua Yu, Qi Yue, Arda Yunianta & Hani Moaiteq Abdullah Aljahdali. (2021) A novel hybrid deep correction approach for electrical load demand prediction. Sustainable Cities and Society 74, pages 103161.
Crossref
Crossref
Mohammad Amin Chitsazan, M. Sami Fadali & Andrzej M. Trzynadlowski. (2019) Wind speed and wind direction forecasting using echo state network with nonlinear functions. Renewable Energy 131, pages 879-889.
Crossref
Crossref
Abdollah Kavousi-Fard, Abbas Khosravi & Saeid Nahavandi. (2016) A New Fuzzy-Based Combined Prediction Interval for Wind Power Forecasting. IEEE Transactions on Power Systems 31:1, pages 18-26.
Crossref
Crossref
Abdollah Kavousi-Fard, Abbas Khosravi & Saeid Nahavadi. (2014) A novel fuzzy multi-objective framework to construct optimal prediction intervals for wind power forecast. A novel fuzzy multi-objective framework to construct optimal prediction intervals for wind power forecast.
K. Clark. (2012) Overview of subsynchronous resonance related phenomena. Overview of subsynchronous resonance related phenomena.
Victor Kutbatsky, Denis Sidorov, Nikita Tomin & Vadim Spiryaev. (2011) Hybrid Model for Short-Term Forecasting in ElectricPower System. International Journal of Machine Learning and Computing, pages 138-147.
Crossref
Crossref
Phatchakorn Areekul, Tomonobu Senjyu, Naomitsu Urasaki & Atsushi Yona. (2010) Next day price forecasting in deregulated market by combination of Artificial Neural Network and ARIMA time series models. Next day price forecasting in deregulated market by combination of Artificial Neural Network and ARIMA time series models.
A. Azadeh, M. Saberi & O. Seraj. (2010) An integrated fuzzy regression algorithm for energy consumption estimation with non-stationary data: A case study of Iran. Energy 35:6, pages 2351-2366.
Crossref
Crossref
Phatchakorn Areekul, Tomonobu Senjyu, Hirofumi Toyama & Atsushi Yona. (2010) Notice of Violation of IEEE Publication Principles: A Hybrid ARIMA and Neural Network Model for Short-Term Price Forecasting in Deregulated Market. IEEE Transactions on Power Systems 25:1, pages 524-530.
Crossref
Crossref
Phatchakorn Areekul, Tomonobu Senjyu, Hirofumi Toyama & Atsushi Yona. (2009) Combination of artificial neural network and ARIMA time series models for short term price forecasting in deregulated market. Combination of artificial neural network and ARIMA time series models for short term price forecasting in deregulated market.
Phatchakorn Areekul, Tomonobu Senjyu, Naomitsu Urasaki & Atsushi Yona. (2009) Next Day Price Forecasting in Deregulated Market by Combination of Artificial Neural Network and ARIMA Time Series Models. IEEJ Transactions on Power and Energy 129:10, pages 1267-1274.
Crossref
Crossref
Yang Li, Jia Liu, Liqun Gao & Zhi Kong. (2008) Multi-objective model of power terminate plan in multi-zone peak load shifting control. Multi-objective model of power terminate plan in multi-zone peak load shifting control.
Cuiru Wang, Zhikun Cui & Qi Chen. (2007) Short-term Load Forecasting Based on Fuzzy Neural Network. Short-term Load Forecasting Based on Fuzzy Neural Network.
Yang Li, Liqun Gao, Zhi Kong & Dan Li. (2007) The Application of Fuzzy Method Based on Weight Compromise Coefficient to Peak Load Shifting Distribution. The Application of Fuzzy Method Based on Weight Compromise Coefficient to Peak Load Shifting Distribution.
Yang Houdong, Li Yang, Kong Zhi & Lu Ke. (2007) Management of Peak Load Shifting Control by Multi-objective Fuzzy Group Decision Model. Management of Peak Load Shifting Control by Multi-objective Fuzzy Group Decision Model.
Shamsuddin Ahmed. (2005) Seasonal models of peak electric load demand. Technological Forecasting and Social Change 72:5, pages 609-622.
Crossref
Crossref
T. Yalcinoz & U. Eminoglu. (2005) Short term and medium term power distribution load forecasting by neural networks. Energy Conversion and Management 46:9-10, pages 1393-1405.
Crossref
Crossref