Machina Economicus: A New Paradigm for Prosumers in the Energy Internet of Smart Cities
CoRR(2024)
摘要
Energy Internet (EI) is emerging as new share economy platform for flexible
local energy supplies in smart cities. Empowered by the Internet-of-Things
(IoT) and Artificial Intelligence (AI), EI aims to unlock peer-to-peer energy
trading and sharing among prosumers, who can adeptly switch roles between
providers and consumers in localized energy markets with rooftop photovoltaic
panels, vehicle-to-everything technologies, packetized energy management, etc.
The integration of prosumers in EI, however, will encounter many challenges in
modelling, analyzing, and designing an efficient, economic, and social-optimal
platform for energy sharing, calling for advanced AI/IoT-based solutions to
resource optimization, information exchange, and interaction protocols in the
context of the share economy. In this study, we aim to introduce a recently
emerged paradigm, Machina Economicus, to investigate the economic rationality
in modelling, analysis, and optimization of AI/IoT-based EI prosumer behaviors.
The new paradigm, built upon the theory of machine learning and mechanism
design, will offer new angles to investigate the selfishness of AI through a
game-theoretic perspective, revealing potential competition and collaborations
resulting from the self-adaptive learning and decision-making capacity. This
study will focus on how the introduction of AI will reshape prosumer behaviors
on the EI, and how this paradigm will reveal new research questions and
directions when AI meets the share economy. With an extensive case analysis in
the literature, we will also shed light on potential solutions for advancements
of AI in future smart cities.
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