Improving long-term electricity time series forecasting in smart grid with a three-stage channel-temporal approach-Reference-Cited by-同舟云学术

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Improving long-term electricity time series forecasting in smart grid with a three-stage channel-temporal approach

Published:2024-08 Issue: Volume:468 Page:143051
ISSN:0959-6526
Container-title:Journal of Cleaner Production
language:en
Short-container-title:Journal of Cleaner Production

Author:

Sun Zhao^ORCID,Song Dongjin^ORCID,Peng Qinke,Li Haozhou,Li Pulin^ORCID

Publisher

Elsevier BV

Reference52 articles.

1. Applications of mechanism design in market-based demand-side management: a review;Abedrabboh;Renew. Sustain. Energy Rev.,2023

2. Deep learning and ubiquitous systems for disabled people detection using YOLO models;Alruwaili;Comput. Hum. Behav.,2024

3. Short-term forecasting electricity load by long short-term memory and reinforcement learning for optimization of hyper-parameters;Anh;Evol Intell.,2023

4. A study on the prediction of electricity consumption considering the energy efficiency measures—applied in case of the Brazilian public sector;Bortolassi;Energy Effic,2023

5. Long sequence time-series forecasting with deep learning: a survey;Chen;Inf. Fusion,2023

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