Computational Intelligence for Modeling, Control, Optimization, Forecasting and Diagnostics in Photovoltaic Applications
Material type:
ArticleLanguage: English Publication details: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020Description: 1 electronic resource (280 p.)ISBN: - books978-3-03943-201-1
- 9783039432004
- 9783039432011
- History of engineering & technology
- sensor network
- data fusion
- complex network analysis
- fault prognosis
- photovoltaic plants
- ANFIS
- statistical method
- gradient descent
- photovoltaic system
- sustainable development
- PV power prediction
- artificial neural network
- renewable energy
- environmental parameters
- multiple regression model
- moth-flame optimization
- parameter extraction
- photovoltaic model
- double flames generation (DFG) strategy
- Solar cell parameters
- single-diode model
- two-diode model
- COA
- photovoltaic systems
- maximum power point tracking
- single stage grid connected systems
- solar concentrator
- spectral beam splitting
- diffractive optical element
- diffractive grating
- PVs power output forecasting
- adaptive neuro-fuzzy inference systems
- particle swarm optimization-artificial neural networks
- solar irradiation
- photovoltaic power prediction
- publicly available weather reports
- machine learning
- long short-term memory
- integrated energy systems
- smart energy management
- PV fleet
- clustering-based PV fault detection
- unsupervised learning
- self-imputation
- implicit model solution
- photovoltaic array
- series-parallel
- global optimization
- partial shading
- deterministic optimization algorithm
- metaheuristic optimization algorithm
- genetic algorithm
- solar cell optimization
- finite difference time domain
- optical modelling
- thermal image
- photovoltaic module
- hot spot
- image processing
- deterioration
- linear approximation
- MPPT algorithm
- duty cycle
- global horizontal irradiance
- mathematical modeling
- feed-forward neural networks
- recurrent neural networks
- LSTM cell
- performances evaluation
- clear sky irradiance
- persistent predictor
- photovoltaics
- artificial neural networks
- national power system
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OPJGU Sonepat- Campus | E-Books Open Access | Available |
Open Access star Unrestricted online access
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.
Creative Commons https://creativecommons.org/licenses/by/4.0/ cc https://creativecommons.org/licenses/by/4.0/
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