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.
According to 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 4 Applications of AI in the Clean Energy Industry Digitalization of the world economy and the availability of large sets of digital data are two prerequisites for the widespread 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: 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: How Does AI Contribute to Clean Energy?