State of the Art of Machine Learning Models in Energy Systems, a Systematic Review
Work
Year: 2019
Type: review
Abstract: Machine learning (ML) models have been widely used in the modeling, design and prediction in energy systems. During the past two decades, there has been a dramatic increase in the advancement and appl... more
Source: Energies
Institutions Oxford Brookes University, Queensland University of Technology, Obuda University, Niroo Research Institute, University of Mohaghegh Ardabili +3 more
Cites: 111
Cited by: 415
Related to: 10
FWCI: 4.067
Citation percentile (by year/subfield): 99.84
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Sustainable Development Goal Affordable and clean energy
Open Access status: gold
APC paid (est): $2,382