Machine learning based disaggregation of air‐conditioning loads using smart meter data
Author:
Affiliation:
1. Department of EnergyPolitecnico di MilanoVia Lambruschini 4Milano20156Italy
2. Department of Computer Science, Electrical Engineering, Mathematical SciencesWestern Norway University of Applied SciencesBergen5063Norway
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-gtd.2020.0698
Reference38 articles.
1. International Energy Agency: ‘Energy efficiency 2018’ 2018
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3. State Estimation and Control of Electric Loads to Manage Real-Time Energy Imbalance
4. An Evaluation of the HVAC Load Potential for Providing Load Balancing Service
5. Evolving practice of demand-side management
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