Top 5 Ways In Which Artificial Intelligence Will Impact Renewable Energy Sector

Top 5 Ways In Which Artificial Intelligence Will Impact Renewable Energy Sector

As the clamor for a net-zero future grows across the world, the energy sector might go through a major transformation in the coming years with a renewed push towards renewable energy and deployment of clean energy methods across the horizon. As one thing leads to the other, the power usage pattern over the years has become quite dynamic. Amid such shifts happening in the energy sector, the need for Artificial Intelligence (AI) has grown all the more. Additionally, the industry is changing from a market based on commodity pricing to a market based on technology solutions to integrate renewable energy.

Here we list the top five ways in which Artificial Intelligence (AI) will affect the renewable energy sector:

• Artificial Intelligence can help power distributors to analyse the consumption pattern in households as well as commercial establishments through data generated by advanced sensors, smart meters, and intelligent devices beyond the meters. This can also help in studying the consumption pattern of individual appliances. Further, AI can also help differentiate between the power coming from renewable sources and non-renewable sources.
• Artificial Intelligence (AI) can also help in the maintenance of the renewable energy infrastructure as it can collate data related to wear and tear and other damage that are caused by to functioning of the equipment. It can also provide visibility into energy leakage, consumption patterns, and equipment health. Sensor data can be taken from a wind turbine to monitor wear and tear and predict with a high degree of accuracy when it would need maintenance. AI will also come in handy in determining weather events and hence safeguarding the equipment accordingly.
• As far as establishing renewable energy projects is concerned, AI can help in determining the best location. AI can help in analysing satellite-collected data sensor networks, and other sources to identify the most promising locations. Moreover, AI can predict the function of the plants based on location, weather patterns, and other topographical factors.
• AI will also contribute to the need for energy production leading to the production of renewable energy helping energy companies by predicting the requirement for cleaner energy along with helping energy companies reduce costs and downtime by avoiding overproduction or underproduction of clean energy.
• Artificial Intelligence (AI) will further help in optimising the energy storage system amid intermittent supply of renewable sources while storing the surplus and predicting the accurate time to distribute the power on the basis of several factors such as demand, supply, price, and grid conditions.