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Computational Intelligence for Modeling, Control, Optimization, Forecasting and Diagnostics in Photovoltaic Applications

Computational Intelligence for Modeling, Control, Optimization, Forecasting and Diagnostics in Photovoltaic Applications

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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.

This book is included in DOAB.

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Keywords

  • adaptive neuro-fuzzy inference systems
  • ANFIS
  • artificial neural network
  • Artificial Neural Networks
  • clear sky irradiance
  • clustering-based PV fault detection
  • COA
  • complex network analysis
  • Data fusion
  • Deterioration
  • deterministic optimization algorithm
  • diffractive grating
  • diffractive optical element
  • double flames generation (DFG) strategy
  • duty cycle
  • environmental parameters
  • fault prognosis
  • feed-forward neural networks
  • finite difference time domain
  • genetic algorithm
  • global horizontal irradiance
  • global optimization
  • gradient descent
  • History of engineering & technology
  • hot spot
  • Image processing
  • implicit model solution
  • Integrated Energy Systems
  • linear approximation
  • long short-term memory
  • LSTM cell
  • Machine learning
  • mathematical modeling
  • maximum power point tracking
  • metaheuristic optimization algorithm
  • moth-flame optimization
  • MPPT algorithm
  • multiple regression model
  • national power system
  • optical modelling
  • parameter extraction
  • partial shading
  • particle swarm optimization-artificial neural networks
  • performances evaluation
  • persistent predictor
  • photovoltaic array
  • photovoltaic model
  • photovoltaic module
  • photovoltaic plants
  • photovoltaic power prediction
  • photovoltaic system
  • photovoltaic systems
  • photovoltaics
  • publicly available weather reports
  • PV fleet
  • PV power prediction
  • PVs power output forecasting
  • recurrent neural networks
  • renewable energy
  • self-imputation
  • sensor network
  • series–parallel
  • single stage grid connected systems
  • single-diode model
  • smart energy management
  • solar cell optimization
  • Solar cell parameters
  • solar concentrator
  • solar irradiation
  • spectral beam splitting
  • Statistical Method
  • Sustainable development
  • Technology, engineering, agriculture
  • Technology: general issues
  • thermal image
  • two-diode model
  • unsupervised learning

Links

DOI: 10.3390/books978-3-03943-201-1

Editions

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