Demand side management in microgrid: A critical review of key issues and recent trends

D Kanakadhurga, N Prabaharan - Renewable and Sustainable Energy …, 2022 - Elsevier
In a deregulated power system, Demand Side Management (DSM) plays a vital role in
handling the uncertain renewable power generation and load. The flat load-profile can be …

[HTML][HTML] Demand response performance and uncertainty: A systematic literature review

C Silva, P Faria, Z Vale, JM Corchado - Energy Strategy Reviews, 2022 - Elsevier
The present review has been carried out, resorting to the PRISMA methodology, analyzing
218 published articles. A comprehensive analysis has been conducted regarding the …

Monitoring the enterprise carbon emissions using electricity big data: A case study of Beijing

H Chen, R Wang, X Liu, Y Du, Y Yang - Journal of Cleaner Production, 2023 - Elsevier
Enterprises are major sources of anthropogenic carbon emissions, and high-quality data on
enterprise carbon emissions are prerequisites for climate abatement policies and actions …

Emerging interaction of artificial intelligence with basic materials and oil & gas companies: A comparative look at the Islamic vs. conventional markets

U Shahzad, MG Asl, M Panait, T Sarker, SA Apostu - Resources Policy, 2023 - Elsevier
As part of the artificial intelligence (AI) industry there are many companies engaged in
providing hardware that enhances the use of artificial intelligence technology for big data …

[HTML][HTML] Digital transformation of microgrids: a review of design, operation, optimization, and cybersecurity

E Irmak, E Kabalci, Y Kabalci - Energies, 2023 - mdpi.com
This paper provides a comprehensive review of the future digitalization of microgrids to meet
the increasing energy demand. It begins with an overview of the background of microgrids …

On the Impact of Flexibility on Demand‐Side Management: Understanding the Need for Consumer‐Oriented Demand Response Programs

V Cortez, R Rabelo, A Carvalho… - … Journal of Energy …, 2024 - Wiley Online Library
While demand response programs inherently depend on consumer acceptance in order to
be successful, consumer behavior is often overlooked when designing such programs. This …

A measurement model for electricity Consumers' awareness with covariance structure Analyses. A solid pillar for boosting demand response programs

SV Oprea, A Bâra - Sustainable Energy Technologies and Assessments, 2022 - Elsevier
Recent energy policies aim to raise the awareness on climate change, fossil fuels, collective
actions and social cohesion. Additionally, they seek to sensitize people to the usage of …

Predicting air pollutant emissions of the foundry industry: Based on the electricity big data

X Chi, Z Li, H Liu, J Chen, J Gao - Science of The Total Environment, 2024 - Elsevier
Industrial enterprises are one of the largest sources of air pollution. However, the existing
means of monitoring air pollutant emissions are narrow in coverage, high in cost, and low in …

Solving electric power distribution uncertainty using deep learning and incentive-based demand response

B Palaniyappan, T Vinopraba, G Chandrasekaran - Utilities Policy, 2023 - Elsevier
Abstract Recent Demand Response (DR) struggles with the end user's uncertainty in Electric
Power Consumption (EPC), which affects the system's generation costs and stability …

Artificial intelligence and behavioral economics: A bibliographic analysis of research field

Z Aoujil, M Hanine, ES Flores, MA Samad… - IEEE Access, 2023 - ieeexplore.ieee.org
Behavioral economics and artificial intelligence (AI) have been two rapidly growing fields of
research over the past few years. While behavioral economics aims to combine concepts …