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Results 1 - 20 of 787  for All Library Resources

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Refined by: Journal Title: Energies remove
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1
An S-Transform and Support Vector Machine (SVM)-Based Online Method for Diagnosing Broken Strands in Transmission Lines
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An S-Transform and Support Vector Machine (SVM)-Based Online Method for Diagnosing Broken Strands in Transmission Lines

Energies (Basel), 2011-09, Vol.4 (9), p.1278-1300 [Peer Reviewed Journal]

Copyright MDPI AG 2011 ;ISSN: 1996-1073 ;EISSN: 1996-1073 ;DOI: 10.3390/en4091278

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2
Annual Electric Load Forecasting by a Least Squares Support Vector Machine with a Fruit Fly Optimization Algorithm
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Annual Electric Load Forecasting by a Least Squares Support Vector Machine with a Fruit Fly Optimization Algorithm

Energies (Basel), 2012-11, Vol.5 (11), p.4430-4445 [Peer Reviewed Journal]

Copyright MDPI AG 2012 ;ISSN: 1996-1073 ;EISSN: 1996-1073 ;DOI: 10.3390/en5114430

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3
A New Two-Stage Approach to Short Term Electrical Load Forecasting
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A New Two-Stage Approach to Short Term Electrical Load Forecasting

Energies (Basel), 2013-04, Vol.6 (4), p.2130-2148 [Peer Reviewed Journal]

Copyright MDPI AG 2013 ;ISSN: 1996-1073 ;EISSN: 1996-1073 ;DOI: 10.3390/en6042130

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4
Comparison Between Wind Power Prediction Models Based on Wavelet Decomposition with Least-Squares Support Vector Machine (LS-SVM) and Artificial Neural Network (ANN)
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Comparison Between Wind Power Prediction Models Based on Wavelet Decomposition with Least-Squares Support Vector Machine (LS-SVM) and Artificial Neural Network (ANN)

Energies (Basel), 2014-08, Vol.7 (8), p.5251-5272 [Peer Reviewed Journal]

Copyright MDPI AG 2014 ;ISSN: 1996-1073 ;EISSN: 1996-1073 ;DOI: 10.3390/en7085251

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5
Novel Method for Measuring the Heat Collection Rate and Heat Loss Coefficient of Water-in-Glass Evacuated Tube Solar Water Heaters Based on Artificial Neural Networks and Support Vector Machine
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Novel Method for Measuring the Heat Collection Rate and Heat Loss Coefficient of Water-in-Glass Evacuated Tube Solar Water Heaters Based on Artificial Neural Networks and Support Vector Machine

Energies (Basel), 2015-08, Vol.8 (8), p.8814-8834 [Peer Reviewed Journal]

Copyright MDPI AG 2015 ;ISSN: 1996-1073 ;EISSN: 1996-1073 ;DOI: 10.3390/en8088814

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6
Wind Power Grid Connected Capacity Prediction Using LSSVM Optimized by the Bat Algorithm
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Wind Power Grid Connected Capacity Prediction Using LSSVM Optimized by the Bat Algorithm

Energies (Basel), 2015-12, Vol.8 (12), p.14346-14360 [Peer Reviewed Journal]

ISSN: 1996-1073 ;EISSN: 1996-1073 ;DOI: 10.3390/en81212428

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7
A Least Squares Support Vector Machine Optimized by Cloud-Based Evolutionary Algorithm for Wind Power Generation Prediction
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A Least Squares Support Vector Machine Optimized by Cloud-Based Evolutionary Algorithm for Wind Power Generation Prediction

Energies (Basel), 2016, Vol.9 (8), p.585-585 [Peer Reviewed Journal]

Copyright MDPI AG 2016 ;ISSN: 1996-1073 ;EISSN: 1996-1073 ;DOI: 10.3390/en9080585

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8
Application of Hybrid Quantum Tabu Search with Support Vector Regression (SVR) for Load Forecasting
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Application of Hybrid Quantum Tabu Search with Support Vector Regression (SVR) for Load Forecasting

Energies (Basel), 2016, Vol.9 (11), p.873-873 [Peer Reviewed Journal]

Copyright MDPI AG 2016 ;ISSN: 1996-1073 ;EISSN: 1996-1073 ;DOI: 10.3390/en9110873

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9
Electric Load Forecasting Based on a Least Squares Support Vector Machine with Fuzzy Time Series and Global Harmony Search Algorithm
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Electric Load Forecasting Based on a Least Squares Support Vector Machine with Fuzzy Time Series and Global Harmony Search Algorithm

Energies (Basel), 2016, Vol.9 (2), p.70 [Peer Reviewed Journal]

ISSN: 1996-1073 ;EISSN: 1996-1073 ;DOI: 10.3390/en9020070

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10
Wind Power Generation Forecasting Using Least Squares Support Vector Machine Combined with Ensemble Empirical Mode Decomposition, Principal Component Analysis and a Bat Algorithm
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Wind Power Generation Forecasting Using Least Squares Support Vector Machine Combined with Ensemble Empirical Mode Decomposition, Principal Component Analysis and a Bat Algorithm

Energies (Basel), 2016-04, Vol.9 (4), p.261-261 [Peer Reviewed Journal]

Copyright MDPI AG 2016 ;ISSN: 1996-1073 ;EISSN: 1996-1073 ;DOI: 10.3390/en9040261

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11
Hybridization of Chaotic Quantum Particle Swarm Optimization with SVR in Electric Demand Forecasting
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Hybridization of Chaotic Quantum Particle Swarm Optimization with SVR in Electric Demand Forecasting

Energies (Basel), 2016-06, Vol.9 (6), p.426-426 [Peer Reviewed Journal]

Copyright MDPI AG 2016 ;ISSN: 1996-1073 ;EISSN: 1996-1073 ;DOI: 10.3390/en9060426

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12
A Statistical Framework for Automatic Leakage Detection in Smart Water and Gas Grids
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A Statistical Framework for Automatic Leakage Detection in Smart Water and Gas Grids

Energies (Basel), 2016-09, Vol.9 (9), p.665-665 [Peer Reviewed Journal]

Copyright MDPI AG 2016 ;ISSN: 1996-1073 ;EISSN: 1996-1073 ;DOI: 10.3390/en9090665

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13
Short-Term Load Forecasting Based on Wavelet Transform and Least Squares Support Vector Machine Optimized by Improved Cuckoo Search
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Short-Term Load Forecasting Based on Wavelet Transform and Least Squares Support Vector Machine Optimized by Improved Cuckoo Search

Energies (Basel), 2016-10, Vol.9 (10), p.827-827 [Peer Reviewed Journal]

Copyright MDPI AG 2016 ;ISSN: 1996-1073 ;EISSN: 1996-1073 ;DOI: 10.3390/en9100827

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14
A Hierarchical Method for Transient Stability Prediction of Power Systems Using the Confidence of a SVM-Based Ensemble Classifier
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A Hierarchical Method for Transient Stability Prediction of Power Systems Using the Confidence of a SVM-Based Ensemble Classifier

Energies (Basel), 2016-10, Vol.9 (10), p.778-778 [Peer Reviewed Journal]

Copyright MDPI AG 2016 ;ISSN: 1996-1073 ;EISSN: 1996-1073 ;DOI: 10.3390/en9100778

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15
Raman Spectral Characteristics of Oil-Paper Insulation and Its Application to Ageing Stage Assessment of Oil-Immersed Transformers
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Article
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Raman Spectral Characteristics of Oil-Paper Insulation and Its Application to Ageing Stage Assessment of Oil-Immersed Transformers

Energies (Basel), 2016-11, Vol.9 (11), p.946-946 [Peer Reviewed Journal]

Copyright MDPI AG 2016 ;ISSN: 1996-1073 ;EISSN: 1996-1073 ;DOI: 10.3390/en9110946

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16
Using Trajectory Clusters to Define the Most Relevant Features for Transient Stability Prediction Based on Machine Learning Method
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Using Trajectory Clusters to Define the Most Relevant Features for Transient Stability Prediction Based on Machine Learning Method

Energies (Basel), 2016-11, Vol.9 (11), p.898-898 [Peer Reviewed Journal]

Copyright MDPI AG 2016 ;ISSN: 1996-1073 ;EISSN: 1996-1073 ;DOI: 10.3390/en9110898

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17
A Rest Time-Based Prognostic Framework for State of Health Estimation of Lithium-Ion Batteries with Regeneration Phenomena
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Article
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A Rest Time-Based Prognostic Framework for State of Health Estimation of Lithium-Ion Batteries with Regeneration Phenomena

Energies (Basel), 2016-11, Vol.9 (11), p.896-896 [Peer Reviewed Journal]

Copyright MDPI AG 2016 ;ISSN: 1996-1073 ;EISSN: 1996-1073 ;DOI: 10.3390/en9110896

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18
Classification of Gene Expression Data Using Multiobjective Differential Evolution
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Article
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Classification of Gene Expression Data Using Multiobjective Differential Evolution

Energies (Basel), 2016-12, Vol.9 (12), p.1061 [Peer Reviewed Journal]

Copyright MDPI AG 2016 ;ISSN: 1996-1073 ;EISSN: 1996-1073 ;DOI: 10.3390/en9121061

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19
A New Design Optimization Method for Permanent Magnet Synchronous Linear Motors
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A New Design Optimization Method for Permanent Magnet Synchronous Linear Motors

Energies (Basel), 2016-12, Vol.9 (12), p.992 [Peer Reviewed Journal]

Copyright MDPI AG 2016 ;ISSN: 1996-1073 ;EISSN: 1996-1073 ;DOI: 10.3390/en9120992

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20
Short-Term Load Forecasting Using Adaptive Annealing Learning Algorithm Based Reinforcement Neural Network
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Short-Term Load Forecasting Using Adaptive Annealing Learning Algorithm Based Reinforcement Neural Network

Energies (Basel), 2016-12, Vol.9 (12), p.987 [Peer Reviewed Journal]

Copyright MDPI AG 2016 ;ISSN: 1996-1073 ;EISSN: 1996-1073 ;DOI: 10.3390/en9120987

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Results 1 - 20 of 787  for All Library Resources

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