AI for Electricity Market Design

Krishna Sathvik Mantripragada and Michel Fathi
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Krishna Sathvik Mantripragada: University of North Texas, Information Technology and Computer Science
Michel Fathi: Information Technology and Decision Sciences, University of North Texas

A chapter in Handbook of Smart Energy Systems, 2023, pp 2059-2074 from Springer

Abstract: Abstract Artificial intelligence (AI) has begun to reveal itself at an unprecedented rate in recent years. AI can drastically alter our cities and society due to its advanced capabilities. Despite its expanding importance, AI’s urban and societal ramifications have received little attention. This chapter introduces the concept of an artificially intelligent city as a potential successor to the popular smart city brand – where a city’s smartness has become strongly associated with the use of viable technological solutions, including AI, to contribute to ongoing efforts to address this research gap. The research investigates whether creating artificially intelligent cities can protect humanity from natural disasters, pandemics, and other tragedies. This opinion is based on a detailed examination of the present state of AI literature, research, advances, trends, and applications.

Keywords: Artificial intelligence; Machine learning; Deep learning; Natural language; Processing; Internet of things; Smart city; Electricity design; Networking; Internet; Algorithms; Cognitive learning; Computer vision power system planning; Distributed networks; Predictive models; Forecasting; Time series; Artificial neural network (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-97940-9_135

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DOI: 10.1007/978-3-030-97940-9_135

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