Reprint

Smart Energy Management for Smart Grids

Edited by
March 2020
350 pages
  • ISBN978-3-03928-142-8 (Paperback)
  • ISBN978-3-03928-143-5 (PDF)

This is a Reprint of the Special Issue Smart Energy Management for Smart Grids that was published in

Business & Economics
Environmental & Earth Sciences
Social Sciences, Arts & Humanities
Summary

This book is a contribution from the authors, to share solutions for a better and sustainable power grid. Renewable energy, smart grid security and smart energy management are the main topics discussed in this book.

Format
  • Paperback
License and Copyright
© 2020 by the authors; CC BY-NC-ND license
Keywords
seawater pumped storage; renewable energy; active distribution networks; two-stage; scheduling; distributed generation; storage device; MILP; ToU tariff; optimization; daily consumption curve; peak/off-peak; programmable appliances; smart grid; smart energy; sustainability; values; technology acceptance; technology adoption; smart grid; Smart Grid Station; renewable energy sources; energy management system; smart metering; feedback; households; energy and water consumption; theories of social practice; smart grid; differentiation; development demand; comprehensive evaluation; energy management system; energy storage system; semantic web technologies; rules; ontology; engineering support; smart grid architecture model; model driven architecture; IEC 61850; IEC 61499; energy storage system; electricity charge discount program; peak reduction; economic feasibility analysis; policy effectiveness evaluation; occupant behavior; single-person household; energy consumption; Korean Time Use Survey; EnergyPlus; data mining; K-modes clustering; support vector machine; Gaussian process regression; combined dispatch (CD) strategy; optimization; HOMER; net present cost (NPC); sensitivity analysis; renewable energy; solar power generation prediction; smart grid; photovoltaic power; machine learning; electrical distribution system; graph theory; micro grids; heuristic; optimization; planning; unbalanced three-phase distribution networks; optimal power flows; genetic algorithm; holomorphic embedding load flow method; simulation; forecasting; solar generation; storage capacity; game theory; nash equilibrium; distributed energy management algorithm; micro grid; meta heuristic techniques; R&D planning; patent analysis; sustainable smart grid technology; R&D strategy; STEEP analysis; scenario planning; electric vehicle charging technology; multilayer perceptron neural network; support vector machine; cyberattacks; optimal power flow; smart grid security; intruder detection system