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Climate Variability and Climate Change Impacts on Land Surface, Hydrological Processes and Water Management
| Climate Variability and Climate Change Impacts on Land Surface, Hydrological Processes and Water Management |
| Autore | Reggiani Paolo |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (460 p.) |
| Soggetto non controllato |
coal mining
climate variability DPR Korea runoff map Haihe River Basin compound extremes variation in percentage of flood-season precipitation precipitation Mongolia Budyko framework water pricing model land use change quantitative analysis coal mining concentrated watershed trends river discharge runoff water resources management karst cascade joint operation chart Time series model flood Yellow River Delta Three Gorges Project contribution and sensitivity analysis distributed hydrological model the Loess Plateau topsoil air temperature natural streamflow variation Xinjiang Yangtze River land surface change sustainable water management power operations plot scale temperature Large-scale climate indices Mann-Kendall test eco-region human activities water security inter-basin water transfer project water management average annual runoff predictions Selenga river basin quantile regression estuarine wetlands runoff changes TFPW-MK scenario simulation streamflow indicator snowfall to precipitation ratio multivariate distribution hydroclimatic analysis spatiotemporal change analysis evapotranspiration Three Gorges Dam hydrological simulation Lake Baikal basin CMIP5 dam hydrological processes GRACE SHM trend analysis land cover climate change highland agricultural field area water conflicts Pan evaporation hydrology large scale basin remote sensing Yellow River SWAT GIS WRF model hydrological drought Ethiopia benefits grid-based Weihe River Basin Reservoir inflow forecasting multiple regression model jackknife validation elasticity coefficient diffuse pollutant discharge streamflow reduction MATOPIBA agricultural frontier land use and climate change LULCC Climate variability HEC-RAS PUB simulated rainfall trends and patterns HRU-based rainfall-runoff experiments SWCM Ensemble empirical mode decomposition freshwater availability macro scale modeling Artificial intelligence model intra-annual climate change economics hydrological model Hydro-Informatic Modelling System (HIMS) drought SWAT model arid region land use/cover change litter layer Budyko equation flood control |
| ISBN | 3-03921-508-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367759603321 |
Reggiani Paolo
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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 |
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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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