Market Insight: Ten Applications Of AI In Renewable Power Generation And Grid Management

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Executive Summary

Artificial intelligence (AI), along with its subdomain of machine learning (ML), and associated advances in automation, has rapidly gained pace in recent years. Model building and training techniques have matured and computer hardware has adapted along with industry to take advantage of them. In the power sector, AI-powered automation will enable a more decentralized, electrified and green energy system, based on renewables such as solar photovoltaics, hydroelectric power and wind – although current real-world use cases are still nascent. Existing applications of such technologies in power generation and distribution grid management for renewables are varied, providing value across the different stages of electricity production, transmission, distribution, storage and consumption. This report gives an overview of ten compelling use cases for AI-driven technologies in power generation and grid management for renewables. It will help senior operations, maintenance and reliability decision-makers, as well as engineers involved with power utilities, better understand the potential applications of AI for the efficient integration of renewables in the current energy system.

Table of contents

AI Is Key To Integrating Renewables With The Grid
An Ever-Evolving Power Sector Raises The Potential For AI Applications
Ten Ways AI Will Help Bring About An Efficient, Stable And Green Electrical Grid

About the authors

Joe Lamming

Senior Analyst
Joe is a Senior Analyst in the Verdantix Operational Excellence practice. His current research agenda covers industrial DataOps, AI/ML analytics and applications of generative AI for industry and enterprise. Prior to joining Verdantix, Joe worked in the consumer electronics industry, where he gained experience in overseas manufacturing, product design and data science. Joe holds an MEng in Mechanical Engineering and Sustainable Energy Systems from the University of Southampton.

Malavika Tohani

Research Director, Operational Excellence
Malavika leads the Verdantix Operational Excellence practice. Her current research agenda focuses on digital technologies for Operational Excellence including digital twins and software solutions for industrial risk and asset management. Malavika has over 15 years’ experience in research and strategy consulting. Malavika previously worked at Frost & Sullivan, managing and delivering advisory projects for clients involving expansion, acquisition, benchmarking and product development strategies. Malavika holds a MSc in Economics from Madras School of Economics.

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