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

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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Detalles Bibliográficos
Otros Autores: Vitelli, Massimo (Editor ), Costanzo, Luigi (Otro)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
Materias:
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
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009654118606719
Descripción
Sumario: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.
Descripción Física:1 electronic resource (280 p.)

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