相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。A hybrid electricity price forecasting model with Bayesian optimization for German energy exchange
Hangyang Cheng et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2019)
Multi-objective optimization of energy consumption in crude oil pipeline transportation system operation based on exergy loss analysis
Yang Liu et al.
NEUROCOMPUTING (2019)
A Survey of Deep Learning Techniques: Application in Wind and Solar Energy Resources
Shahab Shamshirband et al.
IEEE ACCESS (2019)
Prediction of welding residual stresses using machine learning: Comparison between neural networks and neuro-fuzzy systems
J. Mathew et al.
APPLIED SOFT COMPUTING (2018)
Statistical evaluation of mathematics lecture performances by soft computing approach
Snezana Gavrilovic et al.
COMPUTER APPLICATIONS IN ENGINEERING EDUCATION (2018)
Estimates of energy consumption in China using a self-adaptive multi-verse optimizer-based support vector machine with rolling cross-validation
Xiaoyu Wang et al.
ENERGY (2018)
A novel decompose-ensemble methodology with AIC-ANN approach for crude oil forecasting
Yishan Ding
ENERGY (2018)
A comprehensive overview on the data driven and large scale based approaches for forecasting of building energy demand: A review
Tanveer Ahmad et al.
ENERGY AND BUILDINGS (2018)
Modeling interfacial tension in N2/n-alkane systems using corresponding state theory: Application to gas injection processes
Forough Ameli et al.
FUEL (2018)
A review of data-driven building energy consumption prediction studies
Kadir Amasyali et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2018)
Short-term photovoltaic solar power forecasting using a hybrid Wavelet-PSO-SVM model based on SCADA and Meteorological information
Abinet Tesfaye Eseye et al.
RENEWABLE ENERGY (2018)
Studies on energy consumption of crude oil pipeline transportation process based on the unavoidable exergy loss rate
Qinglin Cheng et al.
CASE STUDIES IN THERMAL ENGINEERING (2018)
Global horizontal radiation forecast using forward regression on a quadratic kernel support vector machine: Case study of the Tibet Autonomous Region in China
He Jiang et al.
ENERGY (2017)
Estimation of fractal representation of wind speed fluctuation by artificial neural network with different training algorothms
Dalibor Petkovic et al.
FLOW MEASUREMENT AND INSTRUMENTATION (2017)
Prediction of laser welding quality by computational intelligence approaches
Dalibor Petkovic
OPTIK (2017)
Building electrical energy consumption forecasting analysis using conventional and artificial intelligence methods: A review
Mohammad Azhar Mat Daut et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2017)
Precipitation concentration index management by adaptive neuro-fuzzy methodology
Dalibor Petkovic et al.
CLIMATIC CHANGE (2017)
Pattern-based local linear regression models for short-term load forecasting
Grzegorz Dudek
ELECTRIC POWER SYSTEMS RESEARCH (2016)
Comparison of strategies for multi-step ahead photovoltaic power forecasting models based on hybrid group method of data handling networks and least square support vector machine
M. G. De Giorgi et al.
ENERGY (2016)
Comparison of China's primary energy consumption forecasting by using ARIMA (the autoregressive integrated moving average) model and GM(1,1) model
Chaoqing Yuan et al.
ENERGY (2016)
Time series forecasting for building energy consumption using weighted Support Vector Regression with differential evolution optimization technique
Fan Zhang et al.
ENERGY AND BUILDINGS (2016)
Forecasting of Underactuated Robotic Finger Contact Forces by Support Vector Regression Methodology
Srdjan Jovic et al.
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE (2016)
Wind speed forecasting approach using secondary decomposition algorithm and Elman neural networks
Hui Liu et al.
APPLIED ENERGY (2015)
Appraisal of soft computing methods for short term consumers' heat load prediction in district heating systems
Milan Protic et al.
ENERGY (2015)
Appraisal of the support vector machine to forecast residential heating demand for the District Heating system based on the monthly overall natural gas consumption
Nima Izadyar et al.
ENERGY (2015)
A novel hybrid approach based on self-organizing maps, support vector regression and particle swarm optimization to forecast solar irradiance
Zibo Dong et al.
ENERGY (2015)
A hybrid technique for short-term wind speed prediction
Jianming Hu et al.
ENERGY (2015)
Short-term wind power prediction based on LSSVM-GSA model
Xiaohui Yuan et al.
ENERGY CONVERSION AND MANAGEMENT (2015)
Sensor Data Fusion by Support Vector Regression Methodology-A Comparative Study
Shahaboddin Shamshirband et al.
IEEE SENSORS JOURNAL (2015)
Wind speed prediction using reduced support vector machines with feature selection
Xiaobing Kong et al.
NEUROCOMPUTING (2015)
Hybrid PSO-SVM method for short-term load forecasting during periods with significant temperature variations in city of Burbank
A. Selakov et al.
APPLIED SOFT COMPUTING (2014)
Adaptive neuro-fuzzy maximal power extraction of wind turbine with continuously variable transmission
Dalibor Petkovic et al.
ENERGY (2014)
Forecasting the annual electricity consumption of Turkey using an optimized grey model
Coskun Hamzacebi et al.
ENERGY (2014)
Support vector regression methodology for wind turbine reaction torque prediction with power-split hydrostatic continuous variable transmission
Shahaboddin Shamshirband et al.
ENERGY (2014)
Predicting energy consumption of multiproduct pipeline using artificial neural networks
Chunlei Zeng et al.
ENERGY (2014)
Application research of ECOTECT in residential estate planning
Li Yang et al.
ENERGY AND BUILDINGS (2014)
被撤回的出版物: Evaluation of modulation transfer function of optical lens system by support vector regression methodologies - A comparative study (Retracted article. See vol. 88, pg. 265, 2018)
Dalibor Petkovic et al.
INFRARED PHYSICS & TECHNOLOGY (2014)
Short-term solar irradiance forecasting using exponential smoothing state space model
Zibo Dong et al.
ENERGY (2013)
Experimental Study and Modeling of Ultrafiltration of Refinery Effluents Using a Hybrid Intelligent Approach
Hossein Fazeli et al.
ENERGY & FUELS (2013)
Stratified sampling for feature subspace selection in random forests for high dimensional data
Yunming Ye et al.
PATTERN RECOGNITION (2013)
Adaptive neuro-fuzzy approach for wind turbine power coefficient estimation
Dalibor Petkovic et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2013)
Energy Consumption Analysis and Comprehensive Optimization in Oil Pipeline System
Yu Wang et al.
ADVANCED RESEARCH ON MATERIAL, ENERGY AND CONTROL ENGINEERING (2013)
Wind speed and wind energy forecast through Kalman filtering of Numerical Weather Prediction model output
Federico Cassola et al.
APPLIED ENERGY (2012)
A hybrid stock selection model using genetic algorithms and support vector regression
Chien-Feng Huang
APPLIED SOFT COMPUTING (2012)
Computational time reduction for credit scoring: An integrated approach based on support vector machine and stratified sampling method
Akhil Bandhu Hens et al.
EXPERT SYSTEMS WITH APPLICATIONS (2012)
A wavelet Elman neural network for short-term electrical load prediction under the influence of temperature
Sanjay Kelo et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2012)
Neural network based swarm concept for prediction asphaltene precipitation due to natural depletion
Mohammad Ali Ahmadi et al.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2012)
A review on the prediction of building energy consumption
Hai-xiang Zhao et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2012)
Modeling and prediction of Turkey's electricity consumption using Support Vector Regression
Kadir Kavaklioglu
APPLIED ENERGY (2011)
A novel seasonal decomposition based least squares support vector regression ensemble learning approach for hydropower consumption forecasting in China
Shuai Wang et al.
ENERGY (2011)
An Innovative Hybrid Algorithm for Very Short-Term Wind Speed Prediction Using Linear Prediction and Markov Chain Approach
S. A. Pourmousavi Kani et al.
INTERNATIONAL JOURNAL OF GREEN ENERGY (2011)
A hybrid-forecasting model based on Gaussian support vector machine and chaotic particle swarm optimization
Qi Wu
EXPERT SYSTEMS WITH APPLICATIONS (2010)
Day-ahead wind speed forecasting using f-ARIMA models
Rajesh G. Kavasseri et al.
RENEWABLE ENERGY (2009)
Electricity demand loads modeling using AutoRegressive Moving Average (ARMA) models
S. Sp. Pappas et al.
ENERGY (2008)
Using classification structure pharmacokinetic relationship (SCPR) method to predict drug bioavailability based on grid-search support vector machine
Jie Wang et al.
ANALYTICA CHIMICA ACTA (2007)
A GA-based feature selection and parameters optimization for support vector machines
Cheng-Lung Huang et al.
EXPERT SYSTEMS WITH APPLICATIONS (2006)
Mixed-integer programming approach for short-term crude oil scheduling
LFL Moro et al.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH (2004)
Evaluation of simple performance measures for tuning SVM hyperparameters
K Duan et al.
NEUROCOMPUTING (2003)
EnergyPlus: creating a new-generation building energy simulation program
DB Crawley et al.
ENERGY AND BUILDINGS (2001)
分享论文
