Forecasting Electricity Consumption for Accurate Energy Management in Commercial Buildings With Deep Learning Models to Facilitate Demand Response Programs-Reference-Cited by-同舟云学术

Forecasting Electricity Consumption for Accurate Energy Management in Commercial Buildings With Deep Learning Models to Facilitate Demand Response Programs

Published:2024-02-19 Issue:9 Volume:52 Page:1636-1651
ISSN:1532-5008
Container-title:Electric Power Components and Systems
language:en
Short-container-title:Electric Power Components and Systems

Author:

Erten Mustafa Yasin¹,İnanç Nihat²

Affiliation:

1. Department of Electrical and Electronics Engineering, Faculty of Engineering and Natural Sciences, Kırıkkale University, Kırıkkale, Turkey

2. Department of Electrical and Electronics Engineering, Faculty of Engineering, Haliç University, İstanbul, Turkey

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/15325008.2024.2317353

Reference46 articles.

1. A review of demand-side management: Reconsidering theoretical framework

2. Impacts of Demand-Side Management on Electrical Power Systems: A Review

3. Demand response and other demand side management techniques for district heating: A review

4. Building-to-grid predictive power flow control for demand response and demand flexibility programs

5. Demand side management in a smart micro-grid in the presence of renewable generation and demand response

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