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Comparison of modeling methods for wind power prediction: a critical study

Rashmi P. SHETTY, A. SATHYABHAMA, P. Srinivasa PAI

Frontiers in Energy 2020, Volume 14, Issue 2,   Pages 347-358 doi: 10.1007/s11708-018-0553-3

Abstract: Prediction of power generation of a wind turbine is crucial, which calls for accurate and reliable models. In this work, six different models have been developed based on wind power equation, concept of power curve, response surface methodology (RSM) and artificial neural network (ANN), and the results have been compared. To develop the models based on the concept of power curve, the manufacturer’s power curve, and to develop RSM as well as ANN models, the data collected from supervisory control and data acquisition (SCADA) of a 1.5 MW turbine have been used. In addition to wind speed, the air density, blade pitch angle, rotor speed and wind direction have been considered as input variables for RSM and ANN models. Proper selection of input variables and capability of ANN to map input-output relationships have resulted in an accurate model for wind power prediction in comparison to other methods.

Keywords： power curve     method of least squares     cubic spline interpolation     response surface methodology     artificial    

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electroencephalogram signals using spatial constraint independent component analysis based recursive leastsquares in brain-computer interface

Bang-hua YANG,Liang-fei HE,Lin LIN,Qian WANG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 6,   Pages 486-496 doi: 10.1631/FITEE.1400299

Abstract: To remove ocular artifacts from EEG in brain-computer interfaces (BCIs), a method named spatial constraintindependent component analysis based recursive least squares (SCICA-RLS) is proposed.The method consists of two stages.Ocular ICs are identified by an automatic artifact detection method based on kurtosis.In addition, the proposed method has the ability of fast computation as it is not necessary for SCICA

Keywords： Brain-computer interface (BCI)     Spatial constraint independent component analysis based recursive leastsquares (SCICA-RLS)    

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Timing decision-making method of engine blades for predecisional remanufacturing based on reliability

Le CHEN, Xianlin WANG, Hua ZHANG, Xugang ZHANG, Binbin DAN

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 4,   Pages 412-421 doi: 10.1007/s11465-019-0551-0

Abstract: A timing decision-making method for predecisional remanufacturing is presented.The method can effectively solve the uncertainty problem of remanufacturing blanks.predicted by using the characteristic values of performance degradation of products combined with the leastsquares support vector regression algorithm.engine blades are utilized as an example to demonstrate the validity and effectiveness of the proposed method

Keywords： predecisional remanufacturing     reliability     least squares support vector regression (LS-SVR)     game theory    

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Structural total least squares algorithm for locating multiple disjoint sources based on AOA/TOA/FOA None

Xin CHEN, Ding WANG, Rui-rui LIU, Jie-xin YIN, Ying WU

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 7,   Pages 917-936 doi: 10.1631/FITEE.1700735

Abstract: Based on a single moving station localization system, a new method with high localization precision andBased on this, a structural total least squares (STLS) optimization model is developed and the inverselocalization algorithm is derived, and it is strictly proved that the theoretical performance of the STLS methodis consistent with that of the constrained total least squares method under first-order error analysis

Keywords： Single-station     Structural total least squares     Inverse iteration     Angle-of-arrival (AOA)     Time-of-arrival    

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Subspace-based identification of discrete time-delay system Article

Qiang LIU,Jia-chen MA

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 6,   Pages 566-575 doi: 10.1631/FITEE.1500358

Abstract: Then a conventional subspace identification method is used to estimate augmented system matrices andstate-space basis can be recovered from the Kalman state sequences and input-output data by solving two leastsquares problems.Numerical examples are to show the effectiveness of the proposed method.

Keywords： Identification problems     Time-delay systems     Subspace identification method     Alternate convex search     Least squares    

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Predictive Functional Control Based on Fuzzy Model for HVAC Systems

Lu Hongli,Jia Lei,Wang Lei,Gao Rui

Strategic Study of CAE 2006, Volume 8, Issue 9,   Pages 65-68

Abstract: The T - S fuzzy model of controlled process was obtained using the least squares method, then basing

Keywords： T-S fuzzy model     predictive functional control     least squares method     HVAC systems    

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New decentralized control technique based on substructure and LQG approaches

Ying LEI, Ying LIN,

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 4,   Pages 386-392 doi: 10.1007/s11465-009-0041-x

Abstract: An algorithm of recursive least squares estimation for the unknown excitation is proposed.

Keywords： substructures     decentralized control     linear quadratic Gaussian (LQG)     Kalman filter     unknown input     least-squares    

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Impacts of building information modeling (BIM) implementation on design and construction performance: a resource dependence theory perspective

Dongping CAO, Heng LI, Guangbin WANG

Frontiers of Engineering Management 2017, Volume 4, Issue 1,   Pages 20-34 doi: 10.15302/J-FEM-2017010

Abstract: designers and general contractors in BIM-based construction projects in China, the results from partial leastsquares analysis and bootstrapping mediation test provide clear evidence that BIM-enabled capabilities

Keywords： interorganizational collaboration     construction project performance     resource dependence theory     partial leastsquares modeling    

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Optical plasma boundary reconstruction based on least squares for EASTTokamak None

Hao LUO, Zheng-ping LUO, Chao XU, Wei JIANG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 9,   Pages 1124-1134 doi: 10.1631/FITEE.1700041

Abstract: However, this magnetic method still has some inevitable disadvantages.This method uses EFIT reconstruction results as the standard to create the optimally optical reconstructionIllumination in this method is robust.image plane to the Tokamak poloidal plane by a mathematical model, which is optimally resolved by using leastsquares to minimize the error between the optically reconstructed result and the EFIT result.

Keywords： Optical boundary reconstruction     Boundary detection     Global contrast     Least square     EAST Tokamak    

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Identification of thermal error in a feed system based on multi-class LS-SVM

Chao JIN, Bo WU, Youmin HU, Yao CHENG

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 1,   Pages 47-54 doi: 10.1007/s11465-012-0307-6

Abstract: Using multi-class least squares support vector machines (LS-SVM), the thermal positioning error of thehigh-speed feed system experimental bench HUST-FS-001 to verify the identification capacity of the presented method

Keywords： least squares support vector machine (LS-SVM)     feed system     thermal error     precision machining    

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Segmentation and focus-point location based on boundary analysis in forest canopy hemispherical photography Article

Jia-yin SONG,Wen-long SONG,Jian-ping HUANG,Liang-kuan ZHU

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 8,   Pages 741-749 doi: 10.1631/FITEE.1601169

Abstract: On this basis, we proposed a segmentation method for the circular region in a forest canopy hemisphereimage, fitting the circular boundary and computing the center and radius by the least squares methodThe method was unrelated to the parameters of the image acquisition device.

Keywords： Fisheye lens     Least squares method     Image segmentation     Ecology in image processing     Hemispherical photography    

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Estimation of photolysis half-lives of dyes in a continuous-flow system with the aid of quantitative structure-property relationship

Davoud BEIKNEJAD,Mohammad Javad CHAICHI

Frontiers of Environmental Science & Engineering 2014, Volume 8, Issue 5,   Pages 683-692 doi: 10.1007/s11783-014-0680-y

Abstract: and under ultraviolet (UV) radiation were determined by using a continuous-flow spectrophotometric methodbased on different chemometric tools including stepwise multiple linear regression (MLR) and partial leastsquares (PLS) for the prediction of the photolysis half-life ( ) of dyes.

Keywords： quantitative structure-property relationship     continuous-flow     stepwise multiple linear regression     partial leastsquares    

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The S-N Curve Fitted by the Least Square Method Considering the Effect of Length of the Confidence Interval

Yang Xiaohua,Jin Ping,Yao Weixing

Strategic Study of CAE 2004, Volume 6, Issue 4,   Pages 41-43

Abstract: Founding on physical mechanism, this paper presents a weighted least square method in which the weighThe calculating results show that the S-N curve which is gained by the least square method consideringof the confidence interval is more reliable and secure than the S-N curve which is gained by general leastsquare method.

Keywords： confidence interval     fatigue life     least square method     S-N curve    

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Prediction of vibration response of powerhouse structures based on LS-SVM optimized by PSO

Lian Jijian,He Longjun,Wang Haijun

Strategic Study of CAE 2011, Volume 13, Issue 12,   Pages 45-50

Abstract:

The vibration of powerhouse structures is mainly induced by hydraulics factors, mechanical and electromagnetic factors of the generating unit. It nonlinearly couples with the generating unit. Based on prototype observation data of Ertan Hydropower Station, the paper analyzes the coupling effect between vibration of units and powerhouse,and then the vibration response forecasting model of the powerhouse is built based on LS-SVM optimized by particle swarm optimization algorithm, and the prediction results are coincide with the observed data. Further, the paper introduces the running water head as an input divisor into the intelligent prediction model while the forecasting range is extended, and the result is satisfactory.

Keywords： powerhouse     coupled vibration     particle swarm optimization algorithm     least squares support vector machines    

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Using hybrid models to predict blood pressure reactivity to unsupported back based on anthropometric characteristics

Gurmanik KAUR,Ajat Shatru ARORA,Vijender Kumar JAIN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 6,   Pages 474-485 doi: 10.1631/FITEE.1400295

Abstract: regression (SWR), artificial neural network (ANN), adaptive neuro-fuzzy inference system (ANFIS), and the leastsquares support vector machine (LS-SVM) model for the prediction of BP reactivity to an unsupported

Keywords： stepwise regression     Artificial neural network (ANN)     Adaptive neuro-fuzzy inference system (ANFIS)     Leastsquares support vector machine (LS-SVM)    

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Title Author Date Type Operation

Comparison of modeling methods for wind power prediction: a critical study

Rashmi P. SHETTY, A. SATHYABHAMA, P. Srinivasa PAI

Journal Article

electroencephalogram signals using spatial constraint independent component analysis based recursive leastsquares in brain-computer interface

Bang-hua YANG,Liang-fei HE,Lin LIN,Qian WANG

Journal Article

Timing decision-making method of engine blades for predecisional remanufacturing based on reliability

Le CHEN, Xianlin WANG, Hua ZHANG, Xugang ZHANG, Binbin DAN

Journal Article

Structural total least squares algorithm for locating multiple disjoint sources based on AOA/TOA/FOA

Xin CHEN, Ding WANG, Rui-rui LIU, Jie-xin YIN, Ying WU

Journal Article

Subspace-based identification of discrete time-delay system

Qiang LIU,Jia-chen MA

Journal Article

Predictive Functional Control Based on Fuzzy Model for HVAC Systems

Lu Hongli,Jia Lei,Wang Lei,Gao Rui

Journal Article

New decentralized control technique based on substructure and LQG approaches

Ying LEI, Ying LIN,

Journal Article

Impacts of building information modeling (BIM) implementation on design and construction performance: a resource dependence theory perspective

Dongping CAO, Heng LI, Guangbin WANG

Journal Article

Optical plasma boundary reconstruction based on least squares for EASTTokamak

Hao LUO, Zheng-ping LUO, Chao XU, Wei JIANG

Journal Article

Identification of thermal error in a feed system based on multi-class LS-SVM

Chao JIN, Bo WU, Youmin HU, Yao CHENG

Journal Article

Segmentation and focus-point location based on boundary analysis in forest canopy hemispherical photography

Jia-yin SONG,Wen-long SONG,Jian-ping HUANG,Liang-kuan ZHU

Journal Article

Estimation of photolysis half-lives of dyes in a continuous-flow system with the aid of quantitative structure-property relationship

Davoud BEIKNEJAD,Mohammad Javad CHAICHI

Journal Article

The S-N Curve Fitted by the Least Square Method Considering the Effect of Length of the Confidence Interval

Yang Xiaohua,Jin Ping,Yao Weixing

Journal Article

Prediction of vibration response of powerhouse structures based on LS-SVM optimized by PSO

Lian Jijian,He Longjun,Wang Haijun

Journal Article

Using hybrid models to predict blood pressure reactivity to unsupported back based on anthropometric characteristics

Gurmanik KAUR,Ajat Shatru ARORA,Vijender Kumar JAIN

Journal Article