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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 online resource (280 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
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 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 thermal image two-diode model unsupervised learning |
| 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 online resource (306 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
ANFIS
anthropogenic waste processing biofuel biomass biotechnology central solar receiver clearness coefficient climate policy complex terrain concentrated solar concentrating solar power cross border trading deep learning deformable models developing countries different horizontal resolution direct normal irradiance economic efficiency electric energy demand electricity trading energy energy resource assessment forecast forecast errors forecasting functional statistics global horizontal irradiance (GHI) Granger causality heat supply of industrial processes high-resolution Kalman filtering Kalman-Bayesian filter Markov chains momentum sink nowcasting numerical weather prediction model open channel flows operational strategies particle swarm optimization photovoltaic solar energy prediction ramp rates renewable energy renewable energy forecasting renewable energy sources risk analysis shape-invariant model shark algorithm shock-capturing capability short-term forecasts solar collectors solar irradiance forecasts solar irradiation solar radiation solar resource spot prices sustainable development system advisor model the European Green Deal thermochemical thrust force coefficient tidal-stream energy unbounded flow validation weather research and forecasting model wind WRF |
| 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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