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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 |
| Autore | Vitelli Massimo |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (280 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
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 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557297703321 |
Vitelli Massimo
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Renewable Energy Resource Assessment and Forecasting
| Renewable Energy Resource Assessment and Forecasting |
| Autore | Galanis George |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (306 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
short-term forecasts
direct normal irradiance concentrating solar power system advisor model operational strategies central solar receiver solar irradiance forecasts numerical weather prediction model different horizontal resolution forecast errors validation ramp rates renewable energy forecasting solar radiation shark algorithm particle swarm optimization ANFIS nowcasting Kalman-Bayesian filter WRF high-resolution complex terrain wind solar irradiation photovoltaic solar energy deep learning prediction biofuel risk analysis sustainable development renewable energy biomass biotechnology anthropogenic waste processing energy resource assessment tidal-stream energy thrust force coefficient momentum sink unbounded flow open channel flows shock-capturing capability global horizontal irradiance (GHI) forecasting clearness coefficient Markov chains weather research and forecasting model solar resource heat supply of industrial processes solar collectors economic efficiency cross border trading Granger causality electricity trading spot prices deformable models electric energy demand functional statistics Kalman filtering shape-invariant model developing countries concentrated solar thermochemical energy renewable energy sources climate policy forecast the European Green Deal |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910674030003321 |
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Galanis George
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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