LSTM enhanced by dual-attention-based encoder-decoder for daily peak load forecasting-Reference-Cited by-同舟云学术

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LSTM enhanced by dual-attention-based encoder-decoder for daily peak load forecasting

Published:2022-07 Issue: Volume:208 Page:107860
ISSN:0378-7796
Container-title:Electric Power Systems Research
language:en
Short-container-title:Electric Power Systems Research

Author:

Zhu Kedong,Li Yaping,Mao Wenbo,Li Feng,Yan Jiahao

Funder

Jiangsu Province Natural Science Foundation

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference40 articles.

1. Long-term load forecast modelling using a fuzzy logic approach;Yohanna;Pacific Sci. Rev. A: Nat. Sci. Eng.,2016

2. Fuzzy prediction interval models for forecasting renewable resources and loads in microgrids;Saez;IEEE Trans. Smart Grid,2015

3. Incorporating uncertainty of wind power generation forecast into power system operation, dispatch, and unit commitment procedures;Makarov;IEEE Trans. Sustain. Energy,2011

4. Long-term system load forecasting based on data-driven linear clustering method;Li;J. Modern Power Syst. Clean Energy,2018

5. Improving short term load forecast accuracy via combining sister forecasts;Nowotarski;Energy,2016

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