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New Energy World magazine logo
New Energy World magazine logo
ISSN 2753-7757 (Online)

How AI enhances operations in the energy transition

22/3/2023

8 min read

Computer generated image of brain lit up with blue edges and digital info in blue against black background Photo: IBM
AI can be used to optimise renewable energy operations both upstream in solar and wind farms and downstream for flexible power distribution and building management

Photo: IBM

Artificial intelligence (AI) offers a raft of opportunities for optimising renewable energy operations both upstream in solar and wind farm operations, and downstream for flexible power distribution and consumption. Brian Davis, New Energy World Features Editor, reports.

AI is beginning to impact nearly every part of the energy sector, both upstream and downstream, particularly focused on the integration of more variable power generation sources, with increasing needs for accurate forecasting and load management, along with progress on decarbonisation.

 

‘As we move into the Fourth Industrial Revolution, grid operators, developers and consumers are harnessing AI, paving the path for a smooth transition to greater use of renewables,’ explains Thierry Martier, EY Global Digital and Innovation Lead for Energy, in a report on Why AI is a game-changer for renewable energy.

 

‘Better prediction is enabling improved demand forecasting and asset management, while AI’s automation capability is driving operational excellence, competitive advantage and cost savings,’ he notes. Advances in machine learning go hand in hand with emerging technologies, such as the internet of things (IoT), use of sensors and big data – offering the ability to handle complex tasks at speed.

 

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