Day-ahead building-level load forecasts using deep learning vs. traditional time-series techniques
Author:
Publisher
Elsevier BV
Subject
Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction
Reference41 articles.
1. “U.S. Energy Information Administration Monthly Energy Review.” [Online]. Available: http://www.eia.gov/totalenergy/data/monthly/#consumption.
2. The values of market-based demand response on improving power system reliability under extreme circumstances;Wang;Appl Energy,2017
3. A human expert-based approach to electrical peak demand management;Bian;IEEE Trans Power Deliv,2015
4. Dynamic demand control for system frequency regulation: concept review, algorithm comparison, and future vision;Shi;Electr Power Syst Res,2018
5. A self-learning algorithm for coordinated control of rooftop units in small- and medium-sized commercial buildings;Zhang;Appl Energy,2017
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