Advances on Computational Intelligence in Energy - Green Energy and Technology

2019 ◽

pp. 195-215

Author(s):

Zhou Zhou ◽

Jemal H. Abawajy ◽

Fangmin Li

Keyword(s):

Cloud Computing ◽

Energy Consumption ◽

Energy Consumption Model ◽

Computing Environments ◽

Consumption Model

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A Novel Chicken Swarm Neural Network Model for Crude Oil Price Prediction

Advances on Computational Intelligence in Energy - Green Energy and Technology ◽

10.1007/978-3-319-69889-2_3 ◽

2019 ◽

pp. 39-58

Author(s):

Abdullah Khan ◽

Rahmat Shah ◽

Junaid Bukhari ◽

Nasreen Akhter ◽

Attaullah ◽

...

Keyword(s):

Neural Network ◽

Crude Oil ◽

Network Model ◽

Neural Network Model ◽

Oil Price ◽

Crude Oil Price ◽

Price Prediction

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Variable Neighborhood Search-Based Symbiotic Organisms Search Algorithm for Energy-Efficient Scheduling of Virtual Machine in Cloud Data Center

Advances on Computational Intelligence in Energy - Green Energy and Technology ◽

10.1007/978-3-319-69889-2_5 ◽

2019 ◽

pp. 77-97 ◽

Cited By ~ 2

Author(s):

Mohammed Abdullahi ◽

Shafi’i Muhammad Abdulhamid ◽

Salihu Idi Dishing ◽

Mohammed Joda Usman

Keyword(s):

Virtual Machine ◽

Data Center ◽

Energy Efficient ◽

Search Algorithm ◽

Neighborhood Search ◽

Cloud Data Center ◽

Symbiotic Organisms Search ◽

Cloud Data ◽

Symbiotic Organisms ◽

Energy Efficient Scheduling

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A Theoretical Framework for Big Data Analytics Based on Computational Intelligent Algorithms with the Potential to Reduce Energy Consumption

Advances on Computational Intelligence in Energy - Green Energy and Technology ◽

10.1007/978-3-319-69889-2_1 ◽

2019 ◽

pp. 1-20

Author(s):

Haruna Chiroma ◽

Usman Ali Abdullahi ◽

Ibrahim Abaker Targio Hashem ◽

Younes Saadi ◽

Rawaa Dawoud Al-Dabbagh ◽

...

Keyword(s):

Big Data ◽

Energy Consumption ◽

Data Analytics ◽

Big Data Analytics ◽

Theoretical Framework ◽

Intelligent Algorithms ◽

Reduce Energy Consumption ◽

Computational Intelligent

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Integrated Resource Allocation Model for Cloud and Fog Computing: Toward Energy-Efficient Infrastructure as a Service (IaaS)

Advances on Computational Intelligence in Energy - Green Energy and Technology ◽

10.1007/978-3-319-69889-2_7 ◽

2019 ◽

pp. 125-145

Author(s):

Mohammed Joda Usman ◽

Abdul Samad Ismail ◽

Hassan Chizari ◽

Abdulsalam Ya’u Gital ◽

Haruna Chiroma ◽

...

Keyword(s):

Resource Allocation ◽

Energy Efficient ◽

Fog Computing ◽

Infrastructure As A Service ◽

Allocation Model ◽

Resource Allocation Model

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Artificial Bee Colony for Minimizing the Energy Consumption in Mobile Ad Hoc Network

Advances on Computational Intelligence in Energy - Green Energy and Technology ◽

10.1007/978-3-319-69889-2_2 ◽

2019 ◽

pp. 21-38

Author(s):

Mustafa Tareq ◽

Saad Adnan Abed ◽

Elankovan A. Sundararajan

Keyword(s):

Energy Consumption ◽

Ad Hoc Network ◽

Artificial Bee Colony ◽

Ad Hoc ◽

Mobile Ad Hoc Network ◽

Bee Colony ◽

Mobile Ad Hoc

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Energy-Efficient Bias-Based User Association for Heterogeneous Networks in LTE-Advanced

Advances on Computational Intelligence in Energy - Green Energy and Technology ◽

10.1007/978-3-319-69889-2_8 ◽

2019 ◽

pp. 147-168

Author(s):

Ayuba K. Danburam ◽

Mohammed A. Gadam ◽

Aliyu D. Usman ◽

Suleiman M. Sani

Keyword(s):

Heterogeneous Networks ◽

Energy Efficient ◽

User Association ◽

Lte Advanced

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Energy Savings in Heterogeneous Networks with Self-Organizing Backhauling

Advances on Computational Intelligence in Energy - Green Energy and Technology ◽

10.1007/978-3-319-69889-2_6 ◽

2019 ◽

pp. 99-124

Author(s):

Nasir Faruk ◽

Abdulkarim A. Oloyede ◽

Abubakar Abdulkarim ◽

Lukman A. Olawoyin ◽

Yinusa A. Adediran

Keyword(s):

Heterogeneous Networks ◽

Energy Savings ◽

Self Organizing

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Energy Efficiency of Backhauling Options for Future Heterogeneous Networks

Advances on Computational Intelligence in Energy - Green Energy and Technology ◽

10.1007/978-3-319-69889-2_9 ◽

2019 ◽

pp. 169-194

Author(s):

Nasir Faruk ◽

Abubakar Abdulkarim ◽

Nazmat T. Surajudeen-Bakinde ◽

Segun I. Popoola

Keyword(s):

Energy Efficiency ◽

Heterogeneous Networks

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Forecasting OPEC Electricity Generation Based on Elman Network Trained by Cuckoo Search Algorithm

Advances on Computational Intelligence in Energy - Green Energy and Technology ◽

10.1007/978-3-319-69889-2_4 ◽

2019 ◽

pp. 59-76

Author(s):

Abdullah Khan ◽

Rahmat Shah ◽

Nasreen Akhter ◽

Awais Qureshi ◽

Kamran Ullah ◽

...

Keyword(s):

Electricity Generation ◽

Search Algorithm ◽

Cuckoo Search ◽

Cuckoo Search Algorithm ◽

Elman Network

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Advances on Computational Intelligence in Energy - Green Energy and Technology
Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Analysis of Energy Consumption Model in Cloud Computing Environments

A Novel Chicken Swarm Neural Network Model for Crude Oil Price Prediction

Variable Neighborhood Search-Based Symbiotic Organisms Search Algorithm for Energy-Efficient Scheduling of Virtual Machine in Cloud Data Center

A Theoretical Framework for Big Data Analytics Based on Computational Intelligent Algorithms with the Potential to Reduce Energy Consumption

Integrated Resource Allocation Model for Cloud and Fog Computing: Toward Energy-Efficient Infrastructure as a Service (IaaS)

Artificial Bee Colony for Minimizing the Energy Consumption in Mobile Ad Hoc Network

Energy-Efficient Bias-Based User Association for Heterogeneous Networks in LTE-Advanced

Energy Savings in Heterogeneous Networks with Self-Organizing Backhauling

Energy Efficiency of Backhauling Options for Future Heterogeneous Networks

Forecasting OPEC Electricity Generation Based on Elman Network Trained by Cuckoo Search Algorithm

Export Citation Format

Advances on Computational Intelligence in Energy - Green Energy and TechnologyLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Analysis of Energy Consumption Model in Cloud Computing Environments

A Novel Chicken Swarm Neural Network Model for Crude Oil Price Prediction

Variable Neighborhood Search-Based Symbiotic Organisms Search Algorithm for Energy-Efficient Scheduling of Virtual Machine in Cloud Data Center

A Theoretical Framework for Big Data Analytics Based on Computational Intelligent Algorithms with the Potential to Reduce Energy Consumption

Integrated Resource Allocation Model for Cloud and Fog Computing: Toward Energy-Efficient Infrastructure as a Service (IaaS)

Artificial Bee Colony for Minimizing the Energy Consumption in Mobile Ad Hoc Network

Energy-Efficient Bias-Based User Association for Heterogeneous Networks in LTE-Advanced

Energy Savings in Heterogeneous Networks with Self-Organizing Backhauling

Energy Efficiency of Backhauling Options for Future Heterogeneous Networks

Forecasting OPEC Electricity Generation Based on Elman Network Trained by Cuckoo Search Algorithm

Advances on Computational Intelligence in Energy - Green Energy and Technology
Latest Publications