Advances on Computational Intelligence in Energy The Applications of Nature-Inspired Metaheuristic Algorithms in Energy /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Herawan, Tutut (Editor, http://id.loc.gov/vocabulary/relators/edt), Chiroma, Haruna (Editor, http://id.loc.gov/vocabulary/relators/edt), Abawajy, Jemal H. (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Green Energy and Technology,
• Subjects: Energy systems.; Computational intelligence.; Algorithms.; Energy policy.; Energy and state.; Energy Systems.; Computational Intelligence.; Energy Policy, Economics and Management.
• Physical Description: XIV, 215 p. online resource.
• ISBN: 9783319698892
• ISSN: 1865-3529
• DOI: 10.1007/978-3-319-69889-2

Addressing the applications of computational intelligence algorithms in energy, this book presents a systematic procedure that illustrates the practical steps required for applying bio-inspired, meta-heuristic algorithms in energy, such as the prediction of oil consumption and other energy products. Contributions include research findings, projects, surveying work and industrial experiences that describe significant advances in the applications of computational intelligence algorithms in energy. For easy understanding, the text provides practical simulation results, convergence and learning curves as well as illustrations and tables. Providing a valuable resource for undergraduate and postgraduate students alike, it is also intended for researchers in the fields of computational intelligence and energy.