Artificial intelligence application in demand response: Advantages, issues, status, and challenges

ANF Ali, MF Sulaima, IAWA Razak, AFA Kadir… - IEEE …, 2023 - ieeexplore.ieee.org
In recent years, there has been a significant growth in demand response (DR) as a cost-
effective technique of providing flexibility and, as a result, improving the dependability of …

Artificial intelligence enabled demand response: Prospects and challenges in smart grid environment

MA Khan, AM Saleh, M Waseem, IA Sajjad - Ieee Access, 2022 - ieeexplore.ieee.org
Demand Response (DR) has gained popularity in recent years as a practical strategy to
increase the sustainability of energy systems while reducing associated costs. Despite this …

[HTML][HTML] Artificial intelligence and machine learning approaches to energy demand-side response: A systematic review

I Antonopoulos, V Robu, B Couraud, D Kirli… - … and Sustainable Energy …, 2020 - Elsevier
Recent years have seen an increasing interest in Demand Response (DR) as a means to
provide flexibility, and hence improve the reliability of energy systems in a cost-effective way …

idr: Consumer and grid friendly demand response system

V Chandan, T Ganu, TK Wijaya, M Minou… - Proceedings of the 5th …, 2014 - dl.acm.org
Peak demand is a major challenge for power utilities across the world. Demand Response
(DR) is considered to be effective in addressing peak demand by altering consumption of …

[HTML][HTML] Demand response requirements from the cultural, social, and behavioral perspectives

M Shekari, H Arasteh, A Sheikhi Fini, V Vahidinasab - Applied Sciences, 2021 - mdpi.com
Demand-side response programs, commonly known as demand response (DR), are
interesting ways to attract consumers' participation to improve electric consumption patterns …

Lessons from 10 years of demand response research: Smart energy for customers?

G Deconinck, K Thoelen - IEEE Systems, Man, and …, 2019 - ieeexplore.ieee.org
To accommodate more energy from renewable sources, the existing paradigm in the
electricity grid of supply follows demand has its limitations. On the other hand, demand …

Want to reduce energy consumption, whom should we call?

PM Mammen, H Kumar, K Ramamritham… - Proceedings of the Ninth …, 2018 - dl.acm.org
Power shortage is a serious issue in developing nations. During periods of high demand,
utilities need to motivate the consumers to curtail their consumption for maintaining grid …

Achieving optimality and fairness in autonomous demand response: Benchmarks and billing mechanisms

Z Baharlouei, M Hashemi, H Narimani… - … on Smart Grid, 2013 - ieeexplore.ieee.org
Autonomous demand response (DR) programs are scalable and result in a minimal control
overhead on utilities. The idea is to equip each user with an energy consumption scheduling …

The role of regulatory reforms, market changes, and technology development to make demand response a viable resource in meeting energy challenges

B Shen, G Ghatikar, Z Lei, J Li, G Wikler, P Martin - Applied Energy, 2014 - Elsevier
In recent years, demand response and load control automation has gained increased
attention from regulators, system operators, utilities, market aggregators, and product …

A simulation model with multi-attribute utility functions for energy consumption scheduling in a smart grid

P Khadgi, L Bai, G Evans, QP Zheng - Energy Systems, 2015 - Springer
When consumers' use of electricity is mainly driven by convenience, coincident demand
occurs, resulting in electric load peaks. Consequently, the undesirable large gaps between …