Sign inSubmit
Tips: “quotes” for a phrase · author:Lee · a DOI goes straight to its article

46 articles for “PV Power Prediction”
Set a search alert
Research ArticleOpen accessIn the abstractRobust Position Controller for a Permanent Magnet Synchronous ActuatorChams-Eddine Feraga, Abdelkrim Moussaoui, Abdallah Bouldjedri, Ali YousfiProblem statement: The present study investigated with the application of a robust control scheme to improve the performance of a simplified indirect field oriented for small power surface mounted Permanent Magnet (PM) synchronous actuators. Approach: The suggested model was implemented using a simplified state feedback with no need to measure the current values to compute the control algorithm. Results: The … …American Journal of Engineering and Applied Sciences, Vol. 2, Issue 2 · 30 Jun 2009 · 7,673 accessesView PDFCite
Research ArticleOpen accessIn the abstractEstimation of C*-Integral for Radial Cracks in Annular Discs under Constant Angular Velocity and Internal PressureA.R. Gowhari-Anaraki, F. Djavanroodi, S. ShadlouThe finite element method has been used to predict the creep rupture parameter, C*-Integral for single and double-edge cracks in eight annular rotating discs under constant angular velocity with and without internal pressure. In this study, a new dimensionless creeping crack configuration factor, Q* has been introduced. Power law creeping finite element analyses have been performed and the results are … …American Journal of Applied Sciences, Vol. 5, Issue 8 · 31 Aug 2008 · 6,721 accessesView PDFCite
Research ArticleOpen accessIn the abstractEstimation of C*-Integral in Thin T-Sections Subjected to Projection and Remote Loading Base on Elastic Stress Concentration FactorA.R. Gowhari-Anaraki, F. Djavanroodi, S. ShadlouThe finite element method has been used to predict the creep rupture parameter, C*-Integral of flat T-section bar subjected to loaded projection and remote loading with a crack or crack-like flaw introduced in the fillet (i.e., high stress) region of the component. In this study, a new dimensionless creeping crack configuration factor, Q* has been introduced. Power low creeping finite … …American Journal of Applied Sciences, Vol. 5, Issue 5 · 31 May 2008 · 6,469 accessesView PDFCite
Research ArticleOpen accessIn the abstractConsumer Choice Prediction: Artificial Neural Networks versus Logistic ModelsChristopher Gan, Visit Limsombunchai, Mike Clemes, Amy WengConventional econometric models, such as discriminant analysis and logistic regression have been used to predict consumer choice. However, in recent years, there has been a growing interest in applying artificial neural networks (ANN) to analyse consumer behaviour and to model the consumer decision-making process. The purpose of this paper is to empirically compare the predictive power of the probability neural … …Journal of Social Sciences, Vol. 1, Issue 4 · 31 Dec 2005 · 8,441 accessesView PDFCite
Research ArticleOpen accessIn the abstractUsing Neutral Network in Predicting Corporate FailureHuong G. NguyenThis study investigates the predictive power of three neutral network models: Multi-layer neural network, probabilistic neural network, and logistic regression model in predicting corporate failure. Basing on the database provided by The Corporate Scorecard Group (CSG), we combine financial ratios which deem to be significant predictors of corporate bankruptcy in many previous empirical studies to build our predictive models and … …Journal of Social Sciences, Vol. 1, Issue 4 · 31 Dec 2005 · 7,324 accessesView PDFCite
Research ArticleOpen accessIn the abstractUnivariate Generalized Additive Models for Simulated Stationary and Non-Stationary Generalized Pareto DistributionMostafa Behzadi, Mohd Bakri Adam, Anwar FitriantoGeneralized additive models as a predictor in regression approaches, are made up over cubic spline basis and penalized regression splines. Despite of linear predictor in GLM, generalized additive models use a sum of smooth functions of covariates as a predictor. The data which are used in this study have generalized Pareto distribution and have been simulated by inversion method. The … …Journal of Mathematics and Statistics, Vol. 13, Issue 2 · 3 Jun 2017 · 7,430 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeveloping and Testing Dynamic Models for HVAC Systems Using System Identification ApproachNabil Nassif, Jasmine Buford, Taher M. Abu-LebdehThis paper proposes integrated modeling and optimization methods for a chilled water HVAC system using a system identification approach. Two multiple input-single output models are developed to find the supply air temperature and fan power of the investigated chilled water air handling unit AHU. To test the proposed models, actual data are collected from existing HVAC systems. Different fan and … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 1 · 15 Mar 2017 · 7,710 accessesView PDFCite
Research ArticleOpen accessIn the abstractMathematical Model Predicting the Critical Heat Flux of Nuclear ReactorsChien-Hsiung Lee, Lih-Wu Hourng, Kuo-Wei LinBoiling heat transfer system keeps a nuclear power plant safe without getting over-heated. Crisis will occur if the dissipated heat flux exceeds the critical heat flux value. This study assumes the flow boiling system at high heat flux is characterized by the existence of a very thin liquid layer, known as the &#34sublayer&#34, which is trapped between the heated surface … …Journal of Computer Science, Vol. 8, Issue 12 · 12 Dec 2012 · 7,695 accessesView PDFCite
Research ArticleOpen accessIn the abstractDesign Analysis of High-Speed Axial-Flux GeneratorM. Sadeghierad, A. Darabi, H. Lesani, H. MonsefProblem Statement: Axial flux permanent magnet machines are regarded as compact high efficiency generators for micro-turbines employed in the distributed power generation systems. High-speed rotor of the generator causes some designing and modeling problems. Sensitivity analysis tasks of the machine parameters are difficult and completely different in comparison with the problems associated with conventional machines. Approach: This article presents a … …American Journal of Engineering and Applied Sciences, Vol. 1, Issue 4 · 31 Dec 2008 · 7,559 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordOptimization of Non-Technical Electricity Loss Detection Using Artificial Neural Networks: Case of Cameroon Distribution NetworkLekini Nkodo Claude Bernard, Bell Serge Samuel, Nyemb Nsoga Valjacques et al.Non-Technical Losses (NTL) represent a critical challenge for power utilities, particularly in developing countries. This paper proposes an unsupervised deep learning approach based on an autoencoder to detect abnormal electricity consumption patterns in the Cameroonian distribution network. The model learns normal customer behavior using historical consumption data and identifies anomalies through reconstruction error analysis. Statistical thresholds are applied to classify … …American Journal of Engineering and Applied Sciences, Vol. 19, Issue 1 · 23 Jul 2026 · 1,225 accessesView PDFCite