Intelligent approach for residential load scheduling-Reference-Cited by-同舟云学术

Intelligent approach for residential load scheduling

Author:

Sadat‐Mohammadi Milad¹^ORCID,Nazari‐Heris Morteza¹,Nazerfard Ehsan²,Abedi Mehrdad³,Asadi Somayeh¹,Jebelli Houtan¹

Affiliation:

1. Department of Architectural EngineeringPennsylvania State University104 Engineering Unit A, University ParkState CollegePAUSA

2. Computer Engineering DepartmentAmirkabir University of Technology (Tehran Polytechnic)TehranIran

3. Electrical Engineering DepartmentAmirkabir University of Technology (Tehran Polytechnic)TehranIran

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering

Link

Reference52 articles.

1. ‘EIA – electricity data’ [Online]. Available at:https://www.eia.gov/electricity/monthly/epm_table_grapher.php?t=epmt_5_01. [Accessed: 28‐Apr‐2020]

Cited by 24 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

2. Peak Load Truncation From Consumer End: A Responsive Temperature Control Method of an Air Conditioner;2024 International Conference on Advances in Computing, Communication, Electrical, and Smart Systems (iCACCESS);2024-03-08

3. Integrated energy flexible building and e-mobility with demand-side management and model predictive control;Advances in Digitalization and Machine Learning for Integrated Building-Transportation Energy Systems;2024