Selecting and prioritizing the electricity customers for participating in demand response programs-Reference-Cited by-同舟云学术

Selecting and prioritizing the electricity customers for participating in demand response programs

Published:2022-02-04 Issue:10 Volume:16 Page:2086-2096
ISSN:1751-8687
Container-title:IET Generation, Transmission & Distribution
language:en
Short-container-title:IET Generation Trans & Dist

Author:

Asghari Pardis¹,Zakariazadeh Alireza¹^ORCID,Siano Pierluigi²³

Affiliation:

1. Department of Electrical and Computer Engineering University of Science and Technology of Mazandaran Behshahr Iran

2. Department of Management and Innovation Systems University of Salerno Via Giovanni Paolo II, 132 Fisciano (SA) Italy

3. Department of Electrical and Electronic Engineering Science University of Johannesburg Johannesburg South Africa

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/gtd2.12417

Reference40 articles.

1. Demand response and smart grids—A survey

2. Cooper A. Shuster M.: Electric company smart meter deployments: Foundation for a smart grid (2019 Update). The Edison Foundation: Washington DC USA (2019).

3. A clustering approach to domestic electricity load profile characterisation using smart metering data

4. A Weekly Load Data Mining Approach Based on Hidden Markov Model

5. Comparisons Among Clustering Techniques for Electricity Customer Classification

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