AI and Alternative Energy: The Case of the Solar Cell Industry

Alternative energy is a key issue today. But so is also artificial intelligence. Search for alternative energy sources and optimizing use is a reoccurring event within the context of energy saving and climate preservation. Cost economies of modes of alternative energy is a core issue as well. Artificial intelligence is a similar core issue resembling alternative energy and, possibly, exceeding it. Penetration of artificial intelligence in almost all aspects of industry and consumption is a daily occurrence. The implications are far and wide. Not a day goes by without a fresh notion of an artificial intelligence impact on one aspect of industry or the others.

How do the equally momentous issues relate to each other??? And how could artificial intelligence influence alternative energy? And could solar energy illustrate this potential impact?

The article starts with a set of definitions. They are boundary setting. Artificial intelligence is defined in terns of system structure and technology features. Alternative energy is assigned segments and parameters. The possible impact of artificial intelligence technologies on the alternative energy spectrum is illustrated by taking solar cell industry as a case. The so called “Rumsfeld Matrix“, or the “Known knowns and unknown unknowns’ matrix”: provides the analytical vehicle.

The article relies on research done on both issues. And it explores possibly unknown dimensions of the interaction as well as the mutual impact.