With the gradual upgradation of global energy consumption and the associated
development of multi-energy sources, the pace of unified energy planning and design has …

Abstract The term" Internet of Things" first appeared in publication paper since 2006,
describing the paradigm of evolution concept that brought about by the presence of internet …

As an essential characteristic of the smart grid, energy demand users are being transformed
from passive roles to active decision-makers. To analyze their decision-making behaviors …

We propose an event-triggered game-theoretic strategy for managing the power grids
demand side, capable of responding to changes in consumer preferences or the price …

This article describes a novel concept to optimize manufacturing systems distributively
through data-based learning. We propose a game-theoretic (GT) learning set-up that is …

Modern power systems require flexible demand-side resources to maintain the balance
between electricity supply and demand. Building thermostatically controlled loads (TCLs) …

In smart grid, the non-cooperative game is a popular method to model the profit competitions
among utility companies, however, this game model requires the complete information of the …

In this paper, we study the Stackelberg game-based evolutionary game with two players,
generators and energy users (EUs), for monetary profit maximization in real-time price (RTP) …

As assembly tasks grow in complexity, collaboration among multiple robots becomes
essential for task completion. However, centralized task planning has become inadequate …

Residential buildings consume 4.4 quads of electricity annually, approximately 37% of the
total electricity consumption in the United States. This represents a vast resource that can be …