Editors:
- Includes recent research on Artificial Intelligence in Renewable Energetic Systems
- Features the proceedings of the 3nd International Conference on Artificial Intelligence in Renewable Energetic Systems held in Tipaza, Algeria on November 26-28, 2019
- Written by experts in the field
Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 102)
Conference series link(s): ICAIRES: International Conference in Artificial Intelligence in Renewable Energetic Systems
Conference proceedings info: ICAIRES 2019.
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (76 papers)
-
Front Matter
-
Particle Swarm Optimization and Artificial Neural Network
-
Front Matter
-
About this book
International Conference on Artificial Intelligence in Renewable Energetic Systems, IC-AIRES2019, 26-28 November 2019, Taghit-Bechar, Algeria.
The challenges of the energy transition in the medium term lead to numerous technological breakthroughs in the areas of production, optimal distribution and the rational use of energy and renewable energy (energy efficiency and optimization of consumption, massive electrification, monitoring and control energy systems, cogeneration and energy recovery processes, new and renewable energies, etc.). The fall in the cost of renewable energies and the desire for a local control of energy production are today calling for a profound change in the electricity system. Local authorities are at the center of energy developments by taking into account the local nature of certain energy systems, heat networks, geothermal energy, waste heat recovery, and electricity generation from household waste. On the other side, digital sciences are atthe heart of connected objects and intelligent products that combine information processing and communication capabilities with their environment. Digital technology is at the center of new systems engineering approaches (3D modeling, virtualization, simulation, digital prototyping, etc.) for the design and development of intelligent systems. The book deals with various topics ranging from the design, development and maintenance of energy production systems, transport, distribution or storage of energy, optimization of energy efficiency, especially in the use of energy. innovation in the fields of energy production from renewable energies, management of energy networks: electricity, fluids, gas, district heating, energy storage modes: battery, super-capacitors , overseeing energy supply through supervision, control and diagnosis, risk management, as well as the design and management of smart grids: microgrid, smartgrid. This imposes the model of energy empowerment in the advent of smart cities. Empower the world’s most vulnerable energy-poor citizens and establish growing and vibrant socioeconomic communities, by academics, students in engineering and data computing from around the world who have chosen an academic path leading to an electric power and energy engineering and artificial intelligence to advancing technology for the advantage of humanity.
Editors and Affiliations
-
EPST-CDER, Unité de Développement des Equipements Solaires, Bou-Ismail, Algeria
Mustapha Hatti
Bibliographic Information
Book Title: Smart Energy Empowerment in Smart and Resilient Cities
Book Subtitle: Renewable Energy for Smart and Sustainable Cities
Editors: Mustapha Hatti
Series Title: Lecture Notes in Networks and Systems
DOI: https://doi.org/10.1007/978-3-030-37207-1
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-37206-4Published: 21 January 2020
eBook ISBN: 978-3-030-37207-1Published: 24 December 2019
Series ISSN: 2367-3370
Series E-ISSN: 2367-3389
Edition Number: 1
Number of Pages: XI, 703
Number of Illustrations: 124 b/w illustrations, 420 illustrations in colour
Topics: Renewable and Green Energy, Computational Intelligence, Transportation Technology and Traffic Engineering, Transportation