Electrification of Smart Cities

Edited by
April 2023
284 pages
  • ISBN978-3-0365-7305-2 (Hardback)
  • ISBN978-3-0365-7304-5 (PDF)

This book is a reprint of the Special Issue Electrification of Smart Cities that was published in

Biology & Life Sciences
Chemistry & Materials Science
Computer Science & Mathematics
Environmental & Earth Sciences
Physical Sciences

Electrification plays a key role in decarbonizing energy consumption for various sectors, including transportation, heating, and cooling. There are several essential infrastructures for a smart city, including smart grids and transportation networks. These infrastructures are the complementary solutions to successfully developing novel services, with enhanced energy efficiency and energy security. This Special Issue includes high-quality papers that address issues related to cutting-edge smart city technologies in the electrification process, including but not limited to the following:

  • Electrification of building environments and transportation systems;
  • Role and impact of smart grids for smart cities;
  • ICT and IoT infrastructures with big data for smart city electrification;
  • Market, services, and business models for smart city electrification;
  • Standards and implementation for smart city electrification;
  • Advanced smart grid technology integration in smart cities, such as energy storage, demand-side management, and distributed energy resources.
  • Hardback
© 2022 by the authors; CC BY-NC-ND license
coordinated operation; natural gas network; electrical network; credit rank indicator; data fusion; main drive chain; fault diagnosis; wind turbine; demand response programs; social welfare maximization; utility function; power supply–demand balance; electricity price; rebate level; fault-cause identification; transmission line; sparse learning; multiview learning; feature selection; solar irradiance forecasting; short-term and long-term predictions; machine learning; support vector machine; Facebook Prophet; contextual optimisation; adaptive kernel; multiple classifiers; graph theory; hydraulic model; multi-criteria decision-making; electric city bus; energy consumption; winter; weather; temperature; infrastructure; driving style; cooling; heating; emissions; Blockchain; technology adoption theories; technology adoption models; systematic review; multi-view learning; subspace representation; graph learning; one-step clustering; cyber security; software-defined networking; network security; cyber-physical systems; cross-layered; power systems; machine learning; demand response; coordinated preheating; inverter air conditioner; equivalent thermal parameter model; smart grid; e-bus powertrain; tuning and optimization; iSOPT; digital twins; internet-of-things; local energy markets; consumer digital twin; transactive energy; thermal comfort; DER; transportation; energy consumption; influencing factors; index decomposition approach; n/a