Effective long short-term memory with differential evolution algorithm for electricity price prediction

Author:

Peng Lu,Liu Shan,Liu Rui,Wang Lin

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

General Energy,Pollution,Mechanical Engineering,Building and Construction,Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Civil and Structural Engineering

Reference64 articles.

1. Short term electrical load forecasting using back propagation neural networks;Reddy,2014

2. Bat algorithm-based back propagation approach for short-term load forecasting considering weather factors;Reddy;Electr Eng,2017

3. Density prediction and dimensionality reduction of mid-term electricity demand in China: a new semiparametric-based additive model;Shao;Energy Convers Manag,2014

4. Electricity price forecasting: a review of the state-of-the-art with a look into the future;Weron;Int J Forecast,2014

5. On the importance of the long-term seasonal component in day-ahead electricity price forecasting with NARX neural networks;Marcjasz;Int J Forecast,2018

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