A Novel Combined Electricity Price Forecasting Method Based on Data Driven Algorithms

In the deregulated electricity market, accurate knowledge of electricity price tend helps maximize the profitability of the participants in the electricity market, so electricity price forecasting becomes extremely important. On the basis of not considering the situation of the electricity market it...

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Veröffentlicht in:	2019 IEEE Transportation Electrification Conference and Expo, Asia-Pacific (ITEC Asia-Pacific) S. 1 - 7
Hauptverfasser:	Zhnag, Liang, Zou, Bin, Wang, Hongtao
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.05.2019
Schlagworte:	Accuracy BP Neural Network Data models Electricity Electricity price forecasting Electricity supply industry Forecasting Lasso Load modeling Neural networks Prediction algorithms Predictive models Random Forest SVM Transportation
Online-Zugang:	Volltext
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