An Electricity Price Zone Forecasting Method with Fuzzy Inference Net

Author:

Mori Hiroyuki,Itagaki Tadahiro

Publisher

Elsevier BV

Subject

General Medicine

Reference17 articles.

1. Day ahead price forecasting of electricity markets by a mixed data model and hybrid forecast method;Amjady;International Journal of Electrical Power & Energy Systems,2008

2. Classification and regression trees;Breiman,1964

3. Extended ARMA models for estimating price developments on day-ahead electricity markets;Derk;Electric Power Systems Research,2007

4. Espinola, R. Contreras, J., Nogales, F.J. and Conejo, A.J., (2002) Day-ahead zone electricity price forecasting based on time series models: a comparison. Proc. of PSCC'02, Seville, Spain.

5. A GARCH forecasting model to predict day-ahead electricity prices;Garcia;IEEE Trans. on Power Systems,2005

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1. A Deep Learning Technique for Electricity Price Forecasting in Consideration of Spikes;TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON);2021-12-07

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