A dynamic ensemble method for residential short-term load forecasting-Reference-Cited by-同舟云学术

A dynamic ensemble method for residential short-term load forecasting

Published:2023-01 Issue: Volume:63 Page:75-88
ISSN:1110-0168
Container-title:Alexandria Engineering Journal
language:en
Short-container-title:Alexandria Engineering Journal

Author:

Yang Yu,Jinfu Fan,Zhongjie Wang,Zheng Zhu,Yukun Xu

Publisher

Elsevier BV

Subject

General Engineering

Reference58 articles.

1. A. Guterres, Carbon neutrality by 2050: the world’s most urgent mission, https://www.un.org/sg/en/content/sg/articles/2020-12-11/carbon-neutrality-2050-the-world’s-most-urgent-mission, 2020.

2. An effective bi-stage method for renewable energy sources integration into unbalanced distribution systems considering uncertainty;Ali;Processes 9,2021

3. A novel energy trading framework using adapted blockchain technology;Hamouda;IEEE Trans. Smart Grid,2021

4. Blockchain enabled distributed demand side management in community energy system with smart homes;Afzal;IEEE Access,2020

5. Aebis: Ai-enabled blockchain-based electric vehicle integration system for power management in smart grid platform;Wang;IEEE Access,2020

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