[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 …

[HTML][HTML] Blockchain-based management of demand response in electric energy grids: A systematic review

N Junaidi, MP Abdullah, B Alharbi, M Shaaban - Energy Reports, 2023 - Elsevier
The complexities associated with modern energy grids, including high penetration levels of
renewable energy sources at the end use customers, the proliferation of electric vehicles …

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 …

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 …

A systematic review on demand response role toward sustainable energy in the smart grids-adopted buildings sector

AM Al-Ghaili, ZAB Ibrahim, AA Bakar, H Kasim… - IEEE …, 2023 - ieeexplore.ieee.org
In the so near future, climate change caused by Carbon dioxide (CO 2) emissions as a result
of an increase in energy demand (ED) in the buildings sector becomes really hazard to our …

Transportation quality monitor using sensor active RFID

K Mizuno, M Shimizu - 2007 International Symposium on …, 2007 - ieeexplore.ieee.org
A number of pilot tests have been done to confirm RFID's performance at the supply chain
managements. In these cases, RFID work as the bar cord systems that can connect their IDs …

Switching state prediction for residential loads with weather data for smart automated demand response

A Singh, S Vyas, R Kumar - 2017 Recent Developments in …, 2017 - ieeexplore.ieee.org
Impact of renewable energy based generation is very much visible on the framework of a
demand response system. Dependency of small, isolated power networks (micro grids) on …

Predicting customer behaviors on energy consumption: Why past usage data are not enough?

S Puangpontip, R Hewett - … Conference on Big Data (Big Data), 2018 - ieeexplore.ieee.org
Smart Grid is an important cyber-physical infrastructure for power generation, transmission
and distribution. As energy becomes a necessity for our modern living, effective …

Artificial intelligence for decision making in energy demand-side response

I Antonopoulos - 2022 - ros.hw.ac.uk
This thesis examines the role and application of data-driven Artificial Intelligence (AI)
approaches for the energy demand-side response (DR). It follows the point of view of a …

[PDF][PDF] Energy Reports

N Junaidi, MP Abdullah, B Alharbi, M Shaaban - 2023 - eprints.utm.my
abstract The complexities associated with modern energy grids, including high penetration
levels of renewable energy sources at the end use customers, the proliferation of electric …