Short-term Price Forecasting Method in Electricity Spot Markets Based on Attention-LSTM-mTCN

Author:

Yang GuangORCID,Du Songhuai,Duan Qingling,Su Juan

Funder

National Key R&D Program of China

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering

Reference19 articles.

1. Su Juan, Du Songhuai, Li Talent (2007) Research on short-term spot electricity price forecasting method based on multi-factor wavelet decomposition by neural network, Power Autom Equipment, 27(11)

2. Songhuai Du, Buying Wen, Chuanwen Jiang, (2004) “Power Market,” China Electric Power Press, March, pp 1–9

3. Mohammad shahidehpour et al. (2005) Original book, Compiled by Songhuai Du et al., “Market oriented operation of power system,” China Electric Power Press.9, pp 13–14

4. Zhang J, Tan Z, Wei Y (2020) An adaptive hybrid model for short term electricity price forecasting. Appl Energy 258:114087

5. Heydari A, Nezhad M M, Pirshayan E, Garcia D A, Keynia F, De Santoli L (2020) Short-term electricity price and load forecasting in isolated power grids based on composite neural network and gravitational search optimization algorithm. ApplEnergy 277:115503

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