Artificial Intelligence & Clean Energy

The new climate war has just begun. Ecology is, indeed, one of the most salient socio-economic issues of the twenty first century. AI represents one such valuable opportunity for people, governments, and energy corporations to support sustainable changes in the energy sector. Continue reading this article to learn more about 4 applications of AI in the clean energy industry.

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Artificial Intelligence & Clean Energy

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The new climate war has just begun. A sizzling end-of-June heat wave in Western Canada has caused more than 130 sudden deaths, whereas the mid-July catastrophic floods in Germany and Belgium have left more than 90 people dead and hundreds of others missing.

In the words of the French President Emmanuel Macron, ecology is "the fight of the century". Indeed, in the EU, the production and use of energy supplies make up 75% of greenhouse gas emissions. To improve our well-being and protect our natural habitat, we need to invest more in the development of smart technologies that encourage a smooth transition towards clean energy.

Artificial Intelligence (AI) represents one such valuable opportunity for people, governments, and energy corporations to support sustainable changes in the energy sector. According to the Global Artificial Intelligence in Energy Market report, the funding of AI-based energy projects is expected to reach $7,78 billion world-wide by 2024.

Artificial Intelligence represents a valuable opportunity for people, governments, and energy corporations to support sustainable changes in the energy sector.

4 Applications of AI in the Clean Energy Industry

Digitalization of world economy and availability of large sets of digital data are two prerequisites for a more wide-spread use of AI in the contemporary energy industry. Solar energy, wind energy, and hydroelectricity are just some examples of multiple "clean" energy branches that can benefit from AI. By and large, 4 major areas of application of AI to the clean energy sector include:

  • Power Grid. - AI enables smart networking for various energy industry participants, such as consumers, producers, and storage facilities. It ameliorates sector coupling, monitoring of the grid, and coordination of maintenance work.
  • Power Consumption. - Consumers connected in the clean electricity system by means of smart home solutions and smart meters boost the cost-efficiency of the green electricity grid.
  • Power Trading. - AI plays a crucial role in improving forecasts. It helps evaluate systematically big amounts of relevant data and monitor every instance of algorithmic energy trade.
  • Virtual Power Plant. - AI makes it possible to coordinate the decentralized power plants, as well as detect and prevent numerous deviations from the norm.

How Does AI Contribute to Clean Energy?

AI helps the clean energy industry improve its efficiency, safety, and reliability standards. It also sheds light on such salient issues, as energy leakage, sustainable energy consumption patterns, and equipment durability. All in all, the deployment of AI in the energy sector:

  • Ensures a regular, secure, and affordable supply;
  • Develops an interconnected digitalized market;
  • Improves performance;
  • Boosts efficiency;
  • Promotes innovative infrastructure.

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