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Day-ahead electricity price forecasting using back propagation neural networks and weighted least square

S. Surender REDDY,Chan-Mook JUNG,Ko Jun SEOG

Frontiers in Energy 2016, Volume 10, Issue 1,   Pages 105-113 doi: 10.1007/s11708-016-0393-y

Abstract: the day-ahead electricity price forecasting using the artificial neural networks (ANN) and weighted leastsquare (WLS) technique in the restructured electricity markets.

Keywords： day-ahead electricity markets     price forecasting     load forecasting     artificial neural networks     load serving entities    

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Generalization and application in time series forecasting of the least square support vector machine

Xiang Xiaodong

Strategic Study of CAE 2008, Volume 10, Issue 11,   Pages 89-92

Abstract: more future information than historical data in time-series,the paper extends the prediction method of leastsquare support vector machine and obtains a more general prediction model of least square support vectorthat the extended model is more effective.Therefore it improves the value of the prediction method of leastsquare support vector machine.

Keywords： least square support vector machine     generalization     time series     forecasting    

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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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LSSVM-based approach for refining soil failure criteria and calculating safety factor of slopes

Shiguo XIAO; Shaohong LI

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 7,   Pages 871-881 doi: 10.1007/s11709-022-0863-8

Abstract: In the work reported here, an analysis method based on the least square support vector machine (LSSVMevaluation indexes including coefficient of determination, mean absolute percentage error, and mean square

Keywords： slope stability     safety factor     failure criterion     least square support vector machine    

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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: image plane to the Tokamak poloidal plane by a mathematical model, which is optimally resolved by using least

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

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System identification of channel roughness for middle route project of south to north water diversion

Yang Kailin,Wang Yisen

Strategic Study of CAE 2012, Volume 14, Issue 11,   Pages 17-23

Abstract: radius R, and deduce the linear model by means of the mathematical transformation to make use of the leastsquare method for the identification.

Keywords： channel     roughness     system identification     least square method    

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Learning deep IA bidirectional intelligence Personal View

Lei XU

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 4,   Pages 558-562 doi: 10.1631/FITEE.1900541

Abstract: There has been a framework sketched for learning deep bidirectional intelligence. The framework has an inbound that features two actions: one is the acquiring action, which gets inputs in appropriate patterns, and the other is A-S cognition, derived from the abbreviated form of words abstraction and self-organization, which abstracts input patterns into concepts that are labeled and understood by self-organizing parts involved in the concept into structural hierarchies. The top inner domain accommodates relations and a priori knowledge with the help of the A-I thinking action that is responsible for the accumulation-amalgamation and induction-inspiration. The framework also has an outbound that comes with two actions. One is called I-S reasoning, which makes inference and synthesis (I-S) and is responsible for performing various tasks including image thinking and problem solving, and the other is called the interacting action, which controls, communicates with, and inspects the environment. Based on this framework, we further discuss the possibilities of design intelligence through synthesis reasoning.

Keywords： Abstraction     Least mean square error reconstruction (Lmser)     Cognition     Image thinking     Abstract thinking    

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Signal separation technology for diphase opposition giant magnetostrictive self-sensing actuator

Xinhua WANG, Shuwen SUN, Jian ZHEN, Qianyi YA, Deguo WANG,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 2,   Pages 176-183 doi: 10.1007/s11465-010-0001-5

Abstract: balance separation technology for the giant magnetostrictive self-sensing actuator comes true by the leastmeans square (LMS) self-adapting algorithm.

Keywords： giant magnetostrictive material (GMM) self-sensing actuator     least means square (LMS) self-adapting algorithm    

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Modified Performance Index Method for Parameter Estimation for Industrial Process with Time-varying

Zhang Chenghui

Strategic Study of CAE 2001, Volume 3, Issue 11,   Pages 54-59

Abstract: based on modified performance index is proposed for time-varying process to avoid the ill-condition of leastBased on the new method,a series of new recursive algorithms such as the new recursive least squares

Keywords： parameter estimation     method of calculation     least square method     time-varying system     industrial production    

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The research on method of geometry-control during erection of the short-line bridge

Wang Min,Zhang Yongtao,Liu Jinghong,Liu Yi,Huang Yue

Strategic Study of CAE 2009, Volume 11, Issue 11,   Pages 79-81

Abstract:

Focus on error control during fabricating and suspended splicing of box girders with segmentation method. After the analysis of the error reasons, and the combination with practical engineering—Sutong B2, it discussed control method, computing method and sensitive analysis method of linear control of prefabricated pre-stressed continuous beam bridge assembly with short line method.

Keywords： geometry-control     error analysis     least square method     erection of the short-line method    

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Predicting resilient modulus of recycled concrete and clay masonry blends for pavement applications using soft computing techniques

Mosbeh R. KALOOP, Alaa R. GABR, Sherif M. EL-BADAWY, Ali ARISHA, Sayed SHWALLY, Jong WAN HU

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 6,   Pages 1379-1392 doi: 10.1007/s11709-019-0562-2

Abstract: To date, very few researchers employed the Least Square Support Vector Machine (LSSVM) in predicting

Keywords： Least Square Support Vector Machine     Artificial Neural Network     resilient modulus     Recycled Concrete Aggregate    

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Tessellation Rule and Properties Programming of Origami Metasheets Built with a Mixture of Rigid and Non-Rigid Square-Twist Article

Jiayao Ma, Shixi Zang, Yan Chen, Zhong You

Engineering 2022, Volume 17, Issue 10,   Pages 82-92 doi: 10.1016/j.eng.2022.02.015

Abstract: In this paper, we propose a new kind of origami metasheet by incorporating a family of different square-twist

Keywords： Origami metamaterials     Metasheets     Square-twist pattern     Non-periodic tessellation     Programmability    

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Usability perceptions and beliefs about smart thermostats by chi-square test, signal detection theory

Pedro PONCE, Therese PEFFER, Arturo MOLINA

Frontiers in Energy 2019, Volume 13, Issue 3,   Pages 522-538 doi: 10.1007/s11708-018-0562-2

Abstract: This paper proposes the use of a signal detection theory (SDT), fuzzy detection theory (FDT), and chi-square

Keywords： thermostats     perceptions     beliefs     signal detection theory (SDT)     fuzzy signal detection theory (FSDT)     chi-square    

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Properties of a general quaternion-valued gradient operator and its applications to signal processing

Meng-di Jiang, Yi Li, Wei Liu,w.liu@sheffield.ac.uk

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 2,   Pages 83-95 doi: 10.1631/FITEE.1500334

Abstract: As an application, the derivation of the least mean square algorithm and a nonlinear adaptive algorithm

Keywords： Quaternion     Gradient operator     Signal processing     Least mean square (LMS) algorithm     Nonlinear adaptive    

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Theoretical study on the confine-stiffening effect and fractal cracking of square concrete filled steel

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 6,   Pages 1317-1336 doi: 10.1007/s11709-021-0763-3

Abstract: Based on an experimental program on tension performance of three square concrete-filled tubes (SCFT),

Keywords： square concrete filled tubes     confine-stiffening     confine-strengthening     fractal cracking     fracture    

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Title Author Date Type Operation

Day-ahead electricity price forecasting using back propagation neural networks and weighted least square

S. Surender REDDY,Chan-Mook JUNG,Ko Jun SEOG

Journal Article

Generalization and application in time series forecasting of the least square support vector machine

Xiang Xiaodong

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

LSSVM-based approach for refining soil failure criteria and calculating safety factor of slopes

Shiguo XIAO; Shaohong LI

Journal Article

Optical plasma boundary reconstruction based on least squares for EASTTokamak

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

Journal Article

System identification of channel roughness for middle route project of south to north water diversion

Yang Kailin,Wang Yisen

Journal Article

Learning deep IA bidirectional intelligence

Lei XU

Journal Article

Signal separation technology for diphase opposition giant magnetostrictive self-sensing actuator

Xinhua WANG, Shuwen SUN, Jian ZHEN, Qianyi YA, Deguo WANG,

Journal Article

Modified Performance Index Method for Parameter Estimation for Industrial Process with Time-varying

Zhang Chenghui

Journal Article

The research on method of geometry-control during erection of the short-line bridge

Wang Min,Zhang Yongtao,Liu Jinghong,Liu Yi,Huang Yue

Journal Article

Predicting resilient modulus of recycled concrete and clay masonry blends for pavement applications using soft computing techniques

Mosbeh R. KALOOP, Alaa R. GABR, Sherif M. EL-BADAWY, Ali ARISHA, Sayed SHWALLY, Jong WAN HU

Journal Article

Tessellation Rule and Properties Programming of Origami Metasheets Built with a Mixture of Rigid and Non-Rigid Square-Twist

Jiayao Ma, Shixi Zang, Yan Chen, Zhong You

Journal Article

Usability perceptions and beliefs about smart thermostats by chi-square test, signal detection theory

Pedro PONCE, Therese PEFFER, Arturo MOLINA

Journal Article

Properties of a general quaternion-valued gradient operator and its applications to signal processing

Meng-di Jiang, Yi Li, Wei Liu,w.liu@sheffield.ac.uk

Journal Article

Theoretical study on the confine-stiffening effect and fractal cracking of square concrete filled steel

Journal Article