Titlebook: Handbook of Smart Energy Systems; Michel Fathi,Enrico Zio,Panos M. Pardalos Living reference work 20210th edition Renewable energy.Artifi

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A Stackelberg Game-Theoretic Model of Fee-and-Rebate Pricing in a Load-Reduction Emergency Demand R the operating reserve is below the standard value. In many countries, the process is not fully implemented exclusively by the power suppliers or by the power consumers. Instead, it is achieved by a collaborative model that assesses the values of different consumers and awards rebates or other allow

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Planning to Incorporate Energy Conservation Practices, Renewable Energy Production Systems, and Eco the United States’ overall environmental and energy sustainability can be supported by focusing on public schools as energy conservation and generation sites. Successful implementations of sustainable schools are an opportunity to model sustainable communities for the world. The purpose of this cha

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The Role of Blockchain and Cryptocurrency in Smart Grid: Renewable Energy Trading, System Security ble energy trading, system security, and privacy preservation are the three key challenges in Smart Grid. This book chapter will introduce these key challenges and the solutions built on blockchains and cryptocurrencies to address these challenges. After reading this chapter, readers will get to how

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A PDE-Based Aggregate Power Tracking Control of Heterogeneous TCL Populations,ly controlled loads (TCLs) based on the theory and techniques for partial differential equation (PDE) control. By employing a thermostat-based deadband control with forced switching in the operation of individual TCLs, the aggregated dynamics of TCL populations are governed by a pair of Fokker-Planc

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An Integrated AI-Multiple Criteria Decision-Making Framework to Improve Sustainable Energy Planningmic, and environmental impacts (EIs). Multiple criteria decision-making (MCDM) methods have, therefore, attracted much attention to address this challenge. While there have been several opportunities to apply artificial intelligence (AI) and machine learning (ML) algorithms to enable the model to de