Optimal Day-Ahead Scheduling and Operation of the Prosumer by Considering Corrective Actions Based on Very Short-Term Load Forecasting-Reference-Cited by-同舟云学术

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Optimal Day-Ahead Scheduling and Operation of the Prosumer by Considering Corrective Actions Based on Very Short-Term Load Forecasting

Published:2020 Issue: Volume:8 Page:83561-83582
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Faraji Jamal^ORCID,Ketabi Abbas,Hashemi-Dezaki Hamed,Shafie-Khah Miadreza^ORCID,Catalao Joao P. S.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/09082670.pdf?arnumber=9082670

Cited by 31 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Forecasting Türkiye's Paper and Paper Products Sector Import Using Artificial Neural Networks;Hitit Sosyal Bilimler Dergisi;2024-08-31

2. Very Short-Term Prosumer Electric Load Forecasting Using Deep Learning-Based Techniques;2024 9th International Youth Conference on Energy (IYCE);2024-07-02

3. Optimal load forecasting and scheduling strategies for smart homes peer-to-peer energy networks: A comprehensive survey with critical simulation analysis;Results in Engineering;2024-06

4. Residential Prosumer Energy Management System with Renewable Integration Considering Multi-Energy Storage and Demand Response;Sustainability;2024-03-05

5. From Climate to Consumption: Leveraging Environmental and Usage Data for Energy Forecasting in Low-Energy Houses;2024

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