Advances on Computational Intelligence in Energy [E-Book] : The Applications of Nature-Inspired Metaheuristic Algorithms in Energy / edited by Tutut Herawan, Haruna Chiroma, Jemal H. Abawajy.
Abawajy, Jemal H., (editor)
Chiroma, Haruna, (editor) / Herawan, Tutut, (editor)
1st edition 2019.
Cham : Springer, 2019
XIV, 215 pages (online resource)
Green Energy and Technology
Full Text
Table of Contents:
  • Basic descriptions of computational intelligence algorithms (single, hybrid, ensemble, integrated and etc
  • Credible sources of energy datasets
  • Applications of computational algorithms in energy
  • Practical application of cuckoo search and neural network in the prediction of OECD oil consumption
  • Hybrid of Fuzzy systems and particle swarm optimization in the forecasting gas flaring from oil consumption
  • Forecasting of OECD gas flaring using Elman neural network and cuckoo search algorithm
  • Artificial bee colony and neural network for the forecasting of Malaysia renewable energy
  • Soft computing methods in the modelling of OECD carbon dioxide emission from petroleum consumption
  • Modelling energy crises based on Soft computing
  • The forecasting of WTI and Dubai crude oil prices benchmarks based on soft computing
  • A new approach for the forecasting of IAEA energy
  • Modelling of gasoline prices using fuzzy multi-criteria decision making
  • Soft computing for the prediction of Australia petroleum consumption based on OECD countries
  • Future research problems in the area of computational intelligence algorithms in energy. .