Artificial intelligence (AI) is being used in electric grid systems to enhance their stability. The grid system refers to an interconnected network that stores energy and maintains the energy flow. These grids differ in size and technical parameters like transnational grids for continents, national grids for countries, and grids for buildings. These systems store energy from sources like electricity generation plants, wind power stations, and solar power plants. Inputs from multiple sources lead to the generation of large volume of data, which is analyzed by using AI to increase the stability of the systems.

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In addition, energy companies are also deploying AI-enabled robots in large numbers, as these have the potential to revolutionize the operations and cost structure of such firms. Further, the usage of these robots helps in reducing the number of risks and improving the health of personnel, in the energy sector. The AI-supported robots can also inspect, certify, maintain, and repair energy installation units. Besides, these robots can also be used in decommissioning and cleaning up of nuclear waste.

According to P&S Intelligence, the North American AI in energy management market generated the highest revenue in 2018, globally, and it is expected to maintain its position in the foreseeable future. This is attributed to the presence of key leading AI solution providers and supportive government policies in the region. The U.S. is expected to lead the North American market in the coming years, due to the active deployment of AI solutions in its energy sector to integrate energy generated from non-renewable and renewable sources into the total energy supply.

This market research report provides a comprehensive overview of the market

* Future potential of the market through its forecast for the period 2020– 2030
* Major factors driving the market and their impact during the short, medium, and long terms
* Market restraints and their impact during the short, medium, and long terms
* Recent trends and evolving opportunities for the market participants
* Historical and the present size of the market segments and understand their comparative future potential
* Potential of on-demand logistics services, so the market players make informed decisions on the sales of their offerings