Emerging Technologies for the Energy Systems of the Future

Edited by
August 2021
212 pages
  • ISBN978-3-0365-1559-5 (Hardback)
  • ISBN978-3-0365-1560-1 (PDF)

This book is a reprint of the Special Issue Emerging Technologies for the Energy Systems of the Future that was published in

Computer Science & Mathematics

Energy systems are transiting from conventional energy systems to modernized and smart energy systems. This Special Issue covers new advances in the emerging technologies for modern energy systems from both technical and management perspectives. In modern energy systems, an integrated and systematic view of different energy systems, from local energy systems and islands to national and multi-national energy hubs, is important. From the customer perspective, a modern energy system is required to have more intelligent appliances and smart customer services. In addition, customers require the provision of more useful information and control options. Another challenge for the energy systems of the future is the increased penetration of renewable energy sources. Hence, new operation and planning tools are required for hosting renewable energy sources as much as possible.

  • Hardback
© 2022 by the authors; CC BY-NC-ND license
hybrid systems; photovoltaic; wind energy; energy economics; RES investments; Zimbabwe; Africa and energy security; electricity price forecasting (EPF); wind power forecasting (WPF); spot market; balancing market; ARMAX; NARX-ANN; 100% renewable power system; secondary voltage control; tertiary voltage control; grid code; wind farms; photovoltaic parks; energy transition; renewable energy sources; island power systems; hybrid power plants; wind turbines; battery energy storage systems; marine microgrid; tidal generation system; black widow optimization; supplementary control; fractional integrator; non-linear fractional integrator; 100% renewable power generation; nexus; food; energy; water; greenhouse gas emission; microgrid; ancillary services; renewable energy sources; energy storage; power management; solar hot waters; thermosyphon; thermal performance; Morocco; economic outcomes; CO2 environmental assessment; solar system; domestic hot water production; solar water heaters; individual and collective solar water heater systems; dynamic simulation; TRNbuild; TRNSYSstudio; energy management; microgrid; residential and commercial loads; short-term load forecasting; deep learning; bidirectional long short-term memory (Bi-LSTM); n/a