Optimizing residential demand response in Ghana through iterative techniques and home appliance trend analysis-Reference-Cited by-同舟云学术

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Optimizing residential demand response in Ghana through iterative techniques and home appliance trend analysis

Published:2024-02 Issue:4 Volume:10 Page:e25807
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Avordeh Timothy King^ORCID,Gyamfi Samuel

Publisher

Elsevier BV

Reference40 articles.

1. A data-driven clustering approach to residential electricity demand forecasting;Li;Appl. Energy,2014

2. A seasonal clustering approach for energy consumption pattern identification in residential demand response;Li;Appl. Energy,2016

3. An appliance-level load clustering model based on the K-means algorithm for demand response;Gao;Energy,2018

4. The application of residential demand response in China: an overview;Zhang;Energy Pol.,2020

Cited by 1 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

1. Integrated Home Energy Management with Hybrid Backup Storage and Vehicle-to-Home Systems for Enhanced Resilience, Efficiency, and Energy Independence in Green Buildings;Applied Sciences;2024-09-02

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