This article evaluates the present global condition of solar and wind energy adoption and
explores their benefits and limitations in meeting energy needs. It examines the historical …

This article evaluates the present global condition of solar and wind energy adoption and
explores their benefits and limitations in meeting energy needs. It examines the historical …

ARTIFICIAL INTELLIGENCE FOR RENEWABLE ENERGY SYSTEMS Renewable energy
systems, including solar, wind, biodiesel, hybrid energy, and other relevant types, have …

In alignment with the rapid development of artificial intelligence in the era of data
management, the application domains for machine learning have expanded to all …

Abstract The Paris Agreement, a landmark international treaty signed in 2016 to limit global
warming to 2° C, has urged researchers to explore various strategies for achieving its …

Renewable energy sources are getting attention in recent years due to an increase in global
warming and greenhouse gas emission caused by the burning of fossil fuels for electrical …

In recent years, machine learning has proven to be a powerful tool for deriving insights from
data. In this review, we describe ways in which machine learning has been leveraged to …

Transitioning from fossil fuels to renewable energy sources is a critical global challenge; it
demands advances—at the materials, devices and systems levels—for the efficient …

Nonrenewable sources of energy are depleting rapidly as the ratio of their consumption is
higher than its reproduction as it takes millions of years to replenish, high demand, and …

Abstract With the United Nations (UN) push for sustainable development goals (SDGs),
research on renewable energy resources has received significant renewed interest …