Coverart for item
The Resource Advances on Computational Intelligence in Energy : The Applications of Nature-Inspired Metaheuristic Algorithms in Energy, edited by Tutut Herawan, Haruna Chiroma, Jemal H. Abawajy, (electronic resource)

Advances on Computational Intelligence in Energy : The Applications of Nature-Inspired Metaheuristic Algorithms in Energy, edited by Tutut Herawan, Haruna Chiroma, Jemal H. Abawajy, (electronic resource)

Label
Advances on Computational Intelligence in Energy : The Applications of Nature-Inspired Metaheuristic Algorithms in Energy
Title
Advances on Computational Intelligence in Energy
Title remainder
The Applications of Nature-Inspired Metaheuristic Algorithms in Energy
Statement of responsibility
edited by Tutut Herawan, Haruna Chiroma, Jemal H. Abawajy
Contributor
Editor
Editor
Provider
Subject
Language
eng
Summary
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
Member of
http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsedt
  • KaiAuv80xOA
  • FFwdZL5kFQk
  • _7IAR7Yq32w
Image bit depth
0
LC call number
TK1001-1841
Literary form
non fiction
http://library.link/vocab/relatedWorkOrContributorName
  • Herawan, Tutut
  • Chiroma, Haruna.
  • Abawajy, Jemal H.
  • SpringerLink
Series statement
Green Energy and Technology,
http://library.link/vocab/subjectName
  • Engineering
  • Algorithms
  • Energy Systems
  • Computational Intelligence
  • Algorithms
  • Energy Policy, Economics and Management
Label
Advances on Computational Intelligence in Energy : The Applications of Nature-Inspired Metaheuristic Algorithms in Energy, edited by Tutut Herawan, Haruna Chiroma, Jemal H. Abawajy, (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
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.
Dimensions
unknown
Edition
1st ed. 2019.
Extent
XIV, 215 p.
File format
multiple file formats
Form of item
electronic
Isbn
9783319698892
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-319-69889-2
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-3-319-69889-2
Label
Advances on Computational Intelligence in Energy : The Applications of Nature-Inspired Metaheuristic Algorithms in Energy, edited by Tutut Herawan, Haruna Chiroma, Jemal H. Abawajy, (electronic resource)
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
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.
Dimensions
unknown
Edition
1st ed. 2019.
Extent
XIV, 215 p.
File format
multiple file formats
Form of item
electronic
Isbn
9783319698892
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-319-69889-2
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-3-319-69889-2

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