Multivariate analysis: an application-oriented introduction
Material type:
TextLanguage: English Publication details: Germany: Springer Gabler, 2021. Description: ix, 604p.; 23cmsISBN: 9783658325886Subject(s): Statistical mathematics -- Binary variables | Maximum power point tracking (MPPT) techniques | Advanced MPPT for photovoltaic systemsDDC classification: 519.535 B33
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Dr. S. R. Ranganathan Library General Stacks | 519.535 B33 (Browse shelf(Opens below)) | Available | 2734 |
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| 519.50285 C43:1 Computational statistics in the earth sciences: with applications in MATLAB | 519.502855133 L64 Basics statistics with R: reaching decisions with data | 519.53 F54, 4 Discovering statistics using IBM SPSS statistics | 519.535 B33 Multivariate analysis: an application-oriented introduction | 519.542 K75 Non parametric statistical methods | 519.55 F55 Introduction to time series analysis and forecasting | 519.57 M66, 8 Design and analysis of experiments |
This book introduces and analyses the latest maximum power point tracking (MPPT) techniques, which can effectively reduce the cost of power generated from photovoltaic energy systems. It also presents a detailed description, analysis, and comparison of various MPPT techniques applied to stand-alone systems and those interfaced with electric utilities, examining their performance under normal and abnormal operating conditions. These techniques, which and can be conventional or smart, are a current hot topic, and this book is a valuable reference resource for academic researchers and industry professionals who are interested in exploring and implementing advanced MPPT for photovoltaic systems. It is also useful for graduate students who are looking to expand their knowledge of MPPT techniques.