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Open Data and Energy Analytics
| Open Data and Energy Analytics |
| Autore | Nastasi Benedetto |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (218 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
data envelopment analysis
Kohonen self-organizing maps factor analysis multiple regression energy efficiency social media energy-consuming activities energy consumption machine learning ontology energy performance certificate heating energy demand buildings data mining classification regression decision tree support vector machine random forest artificial neural network open data electrification modelling Malawi OnSSET MESSAGEix reproducibility collaborative work open modelling and data data-handling integrated assessment modelling data pre- and post-processing space heating domestic hot water market assessment EU28 district heating data analytics big data forecasting energy polygeneration clustering kNN pattern recognition heating building stock heat map spatial analysis heat density map building performance simulation parametric modelling energy management model calibration Passive House energy planning energy potential mapping urban energy atlas urban energy transition energy data data-aware planning spatial planning open data analytics smart cities open energy governance urban database energy mapping building dataset energy modelling |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557116603321 |
Nastasi Benedetto
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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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Selected Papers from the 15th Estuarine and Coastal Modeling Conference
| Selected Papers from the 15th Estuarine and Coastal Modeling Conference |
| Autore | Signell Richard |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (432 p.) |
| Soggetto non controllato |
water level
stratification Chatham Sound wave hindcast water level time series marine construction storm surge VDatum NARR estuarine modeling ecosystem simulation CFSR Sandusky Bay hydrodynamic modeling river discharge tidal datums British Columbia geospatial data visualization ocean modeling operational forecast numerical model initial dilution zone Puget Sound anthropogenic impact Finite Volume Community Ocean Model Salish Sea hydrodynamic numerical model compound events sea level rise marine Finite-Volume Community Ocean Model (FVCOM) CE-QUAL-W2 CICE temperature barotropic statistical interpolation unstructured grid wind-driven current Salish Sea model wave energy ADCIRC sediment transport breakwater biophysical modeling model calibration harbor Great Lakes multi-level nested-grid modeling property-carrying particle model spatially varying uncertainty (SVU) FVCOM phytoplankton MIKE21SW baroclinic tidal currents climate change operational nowcast and forecast system tidal constituent database spatially varying uncertainty momentum balance coastal ocean modeling eutrophication Hood Canal flooding coupled models environmental assessment water quality nearshore restoration SWAN Texas H3D coastal storm floating bridge wind forcing tidal current lateral circulation zone of influence ADvanced CIRCulation model (ADCIRC) non-tidal zones agriculture sediment model short-lived radioisotopes coastal and estuarine modeling Eastern North Pacific Ocean (ENPAC) Gulf of Mexico cloud computing feasibility assessments internal tides ice modeling salinity north-east Gulf of Mexico data analysis Brown Passage WaveWatch III marine grid population channel deepening hydrodynamics large-wave hindcast western Louisiana tides estuary algal growth kinetics circulation salt wedge |
| ISBN | 3-03921-270-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346846203321 |
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Signell Richard
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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