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Clustering of cities based on their smart performances: A comparative approach of fuzzy c-means, k-means, and k-medoids
Smart City is recognized as a potential approach to address serious urban issues such as
traffic, pollution, energy use, and waste management. Therefore, it is vital to evaluate how …
traffic, pollution, energy use, and waste management. Therefore, it is vital to evaluate how …
Personalized PV system recommendation for enhanced solar energy harvesting using deep learning and collaborative filtering
Electricity is a crucial aspect of modern life, and with the increasing population and
industrialization, energy demand has risen significantly. A swift transition to renewable …
industrialization, energy demand has risen significantly. A swift transition to renewable …
Optimal Placement of PV-DSTATCOM based EV Charging Stations with Dynamic Pricing
This article proposes incorporation of a method for optimal sizing and placement of a PV-
DSTATCOM (a D-STATCOM feeding active power through the dc link from a PV array) …
DSTATCOM (a D-STATCOM feeding active power through the dc link from a PV array) …
Optimal Placement of Grid-Connected Wind Farms Based on Artificial Intelligence Techniques
From ancient times to the present day, the wind has been consistently recognized as one of
the most important, accessible, and environmentally friendly energy sources, which today …
the most important, accessible, and environmentally friendly energy sources, which today …