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Economic and Social Consequences of the COVID-19 Pandemic in Energy Sector
| Economic and Social Consequences of the COVID-19 Pandemic in Energy Sector |
| Autore | Rokicki Tomasz |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (372 p.) |
| Soggetto topico |
Research & information: general
Physics |
| Soggetto non controllato |
energy manager
competences labor market energy industry COVID-19 decarbonizing transport energy efficiency electrify transport zero-emissions vehicles sustainable transport electric car charging points novel coronavirus pandemic alternative energy stock market sectors stock market companies energy energy company efficiency financial analysis pandemic environmental protection environmental problems greenhouse gas particulate matter (PM) renewable energy corruption electromobility companies in the Transport-Shipping-Logistics Sector pandemic-COVID-19 development self-government units energy consumption monitoring energy consumption effectiveness sustainable energy development households OPEC crude price volatility storage crisis futures shale electric vehicles market and policy electric vehicles purchase intention e-mobility consumers preferences consumer decision making social values delay discounting cultural factors economic factors machine learning methods sustainability energy poverty economic uncertainty energy policy policy measures reducing energy intensity ranking of countries’ energy intensity multi-criteria analysis sectors of the economy economic effects of the pandemic social effects of the pandemic countries of Western Europe countries of Central and Eastern Europe mining sector initiatives and adaptation measures economic situation COVID-19 pandemic fossil fuel energy carbon dioxide emissions nonlinear autoregressive distributed lag model frequency domain causality test Markow switching regression photovoltaics pandemics changes in energetic balance due to COVID-19 renewable sources of energy during pandemics United States energy sector fossil fuel emissions expenditures |
| ISBN | 3-0365-6079-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910639990803321 |
Rokicki Tomasz
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Flood Forecasting Using Machine Learning Methods
| Flood Forecasting Using Machine Learning Methods |
| Autore | Chang Fi-John |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 online resource (376 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
adaptive neuro-fuzzy inference system (ANFIS)
ANFIS ANN ANN-based models artificial intelligence artificial neural network artificial neural networks backtracking search optimization algorithm (BSA) bat algorithm bees algorithm big data classification and regression trees (CART) convolutional neural networks cultural algorithm data assimilation data forward prediction data scarce basins data science database decision tree deep learning disasters Dongting Lake early flood warning systems empirical wavelet transform ensemble empirical mode decomposition (EEMD) ensemble machine learning ensemble technique extreme event management extreme learning machine (ELM) flash-flood flood events flood forecast flood forecasting flood inundation map flood prediction flood routing flood susceptibility modeling forecasting Google Maps Haraz watershed high-resolution remote-sensing images hybrid & hybrid neural network hydrograph predictions hydroinformatics hydrologic model hydrologic models hydrometeorology improved bat algorithm invasive weed optimization Karahan flood lag analysis Lower Yellow River LSTM LSTM network machine learning machine learning methods method of tracking energy differences (MTED) micro-model monthly streamflow forecasting Muskingum model natural hazards & nonlinear Muskingum model optimization parameters particle filter algorithm particle swarm optimization phase space reconstruction postprocessing precipitation-runoff rainfall-runoff random forest rating curve method real-time recurrent nonlinear autoregressive with exogenous inputs (RNARX) runoff series self-organizing map self-organizing map (SOM) sensitivity soft computing St. Venant equations stopping criteria streamflow predictions superpixel support vector machine survey the Three Gorges Dam the upper Yangtze River time series prediction uncertainty urban water bodies water level forecast Wilson flood wolf pack algorithm |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346688303321 |
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Chang Fi-John
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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