Modeling Irrational Behavior of Residential End Users Using Non-Stationary Gaussian Processes-Reference-Cited by-同舟云学术

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Modeling Irrational Behavior of Residential End Users Using Non-Stationary Gaussian Processes

Published:2024-09 Issue:5 Volume:15 Page:4636-4648
ISSN:1949-3053
Container-title:IEEE Transactions on Smart Grid
language:
Short-container-title:IEEE Trans. Smart Grid

Author:

Dinh Nam Trong¹^ORCID,Karimi-Arpanahi Sahand¹^ORCID,Yuan Rui¹^ORCID,Pourmousavi S. Ali¹^ORCID,Guo Mingyu²^ORCID,Liisberg Jon A. R.³,Lemos-Vinasco Julián³^ORCID

Affiliation:

1. Department of Electrical and Mechanical Engineering, The University of Adelaide, Adelaide, SA, Australia

2. Department of Computer and Mathematical Sciences, The University of Adelaide, Adelaide, SA, Australia

3. Research and Development of Data Science, Watts A/S, Køge, Denmark

Funder

The University of Adelaide Industry–Ph.D. Grant Scheme and Watts A/S, Denmark

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/5165411/10643567/10485194.pdf?arnumber=10485194

Reference44 articles.

1. Demand response in electricity markets: A review

2. A Survey on Demand Response Programs in Smart Grids: Pricing Methods and Optimization Algorithms

3. Residential peak electricity demand response—Highlights of some behavioural issues;Gyamfi;Renew. Sustain. Energy Rev.,2013

4. Cost-Effective Community Battery Sizing and Operation Within a Local Market Framework

5. A Real-Time Demand-Response Algorithm for Smart Grids: A Stackelberg Game Approach

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