Computational Intelligence for Modeling, Control, Optimization, Forecasting and Diagnostics in Photovoltaic Applications
This book is a Special Issue Reprint edited by Prof. Massimo Vitelli and Dr. Luigi Costanzo. It contains original research articles covering, but not limited to, the following topics: maximum power point tracking techniques; forecasting techniques; sizing and optimization of PV components and system...
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| Format: | Book Chapter |
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Basel, Switzerland
MDPI - Multidisciplinary Digital Publishing Institute
2020
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| Online Access: | Get Fullteks DOAB: description of the publication |
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| LEADER | 04485naaaa2201189uu 4500 | ||
|---|---|---|---|
| 001 | doab_20_500_12854_69162 | ||
| 005 | 20210501 | ||
| 020 | |a books978-3-03943-201-1 | ||
| 020 | |a 9783039432004 | ||
| 020 | |a 9783039432011 | ||
| 024 | 7 | |a 10.3390/books978-3-03943-201-1 |c doi | |
| 041 | 0 | |a English | |
| 042 | |a dc | ||
| 072 | 7 | |a TBX |2 bicssc | |
| 100 | 1 | |a Vitelli, Massimo |4 edt | |
| 700 | 1 | |a Costanzo, Luigi |4 edt | |
| 700 | 1 | |a Vitelli, Massimo |4 oth | |
| 700 | 1 | |a Costanzo, Luigi |4 oth | |
| 245 | 1 | 0 | |a Computational Intelligence for Modeling, Control, Optimization, Forecasting and Diagnostics in Photovoltaic Applications |
| 260 | |a Basel, Switzerland |b MDPI - Multidisciplinary Digital Publishing Institute |c 2020 | ||
| 300 | |a 1 electronic resource (280 p.) | ||
| 506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
| 520 | |a This book is a Special Issue Reprint edited by Prof. Massimo Vitelli and Dr. Luigi Costanzo. It contains original research articles covering, but not limited to, the following topics: maximum power point tracking techniques; forecasting techniques; sizing and optimization of PV components and systems; PV modeling; reconfiguration algorithms; fault diagnosis; mismatching detection; decision processes for grid operators. | ||
| 540 | |a Creative Commons |f https://creativecommons.org/licenses/by/4.0/ |2 cc |4 https://creativecommons.org/licenses/by/4.0/ | ||
| 546 | |a English | ||
| 650 | 7 | |a History of engineering & technology |2 bicssc | |
| 653 | |a sensor network | ||
| 653 | |a data fusion | ||
| 653 | |a complex network analysis | ||
| 653 | |a fault prognosis | ||
| 653 | |a photovoltaic plants | ||
| 653 | |a ANFIS | ||
| 653 | |a statistical method | ||
| 653 | |a gradient descent | ||
| 653 | |a photovoltaic system | ||
| 653 | |a sustainable development | ||
| 653 | |a PV power prediction | ||
| 653 | |a artificial neural network | ||
| 653 | |a renewable energy | ||
| 653 | |a environmental parameters | ||
| 653 | |a multiple regression model | ||
| 653 | |a moth-flame optimization | ||
| 653 | |a parameter extraction | ||
| 653 | |a photovoltaic model | ||
| 653 | |a double flames generation (DFG) strategy | ||
| 653 | |a Solar cell parameters | ||
| 653 | |a single-diode model | ||
| 653 | |a two-diode model | ||
| 653 | |a COA | ||
| 653 | |a photovoltaic systems | ||
| 653 | |a maximum power point tracking | ||
| 653 | |a single stage grid connected systems | ||
| 653 | |a solar concentrator | ||
| 653 | |a spectral beam splitting | ||
| 653 | |a diffractive optical element | ||
| 653 | |a diffractive grating | ||
| 653 | |a PVs power output forecasting | ||
| 653 | |a adaptive neuro-fuzzy inference systems | ||
| 653 | |a particle swarm optimization-artificial neural networks | ||
| 653 | |a solar irradiation | ||
| 653 | |a photovoltaic power prediction | ||
| 653 | |a publicly available weather reports | ||
| 653 | |a machine learning | ||
| 653 | |a long short-term memory | ||
| 653 | |a integrated energy systems | ||
| 653 | |a smart energy management | ||
| 653 | |a PV fleet | ||
| 653 | |a clustering-based PV fault detection | ||
| 653 | |a unsupervised learning | ||
| 653 | |a self-imputation | ||
| 653 | |a implicit model solution | ||
| 653 | |a photovoltaic array | ||
| 653 | |a series-parallel | ||
| 653 | |a global optimization | ||
| 653 | |a partial shading | ||
| 653 | |a deterministic optimization algorithm | ||
| 653 | |a metaheuristic optimization algorithm | ||
| 653 | |a genetic algorithm | ||
| 653 | |a solar cell optimization | ||
| 653 | |a finite difference time domain | ||
| 653 | |a optical modelling | ||
| 653 | |a thermal image | ||
| 653 | |a photovoltaic module | ||
| 653 | |a hot spot | ||
| 653 | |a image processing | ||
| 653 | |a deterioration | ||
| 653 | |a linear approximation | ||
| 653 | |a MPPT algorithm | ||
| 653 | |a duty cycle | ||
| 653 | |a global horizontal irradiance | ||
| 653 | |a mathematical modeling | ||
| 653 | |a feed-forward neural networks | ||
| 653 | |a recurrent neural networks | ||
| 653 | |a LSTM cell | ||
| 653 | |a performances evaluation | ||
| 653 | |a clear sky irradiance | ||
| 653 | |a persistent predictor | ||
| 653 | |a photovoltaics | ||
| 653 | |a artificial neural networks | ||
| 653 | |a national power system | ||
| 856 | 4 | 0 | |a www.oapen.org |u https://mdpi.com/books/pdfview/book/2934 |7 0 |z Get Fullteks |
| 856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/69162 |7 0 |z DOAB: description of the publication |