An efficient hybrid model for appliances classification based on time series features
Author:
Publisher
Elsevier BV
Subject
Electrical and Electronic Engineering,Mechanical Engineering,Building and Construction,Civil and Structural Engineering
Reference54 articles.
1. Multiple power-based building energy management system for efficient management of building energy;Yoon;Sustain. Cities Soc.,2018
2. International Energy Agency, World Energy Outlook - Executive summary corlet, Paris, France, Int. Energy Agency, Paris. (2019). https://www.iea.org/reports/world-energy-outlook-2019/electricity.
3. Efficient energy scheduling considering cost reduction and energy saving in hybrid energy system with energy storage;Bouakkaz;J. Energy Storage.,2021
4. Estimating residential building energy consumption using overhead imagery;Streltsov;Appl. Energy.,2020
5. Modeling urban building energy use: A review of modeling approaches and procedures;Li;Energy.,2017
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