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Open Data and Models for Energy and Environment
| Open Data and Models for Energy and Environment |
| Autore | Nastasi Benedetto |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (248 p.) |
| Soggetto topico |
Research & information: general
Technology: general issues |
| Soggetto non controllato |
electric vehicles
electricity mix charging profile emissions energy energy scenarios photovoltaics wind EPLANopt multi-objective optimization climate-change bi-level optimisation method evolutionary algorithms renewable energy wave energy converter geometric parameters power take-off levelised cost of energy scroll-compressor experimental validation numerical model layout assessment wave energy conversion real wave model building energy management energy information systems anomaly detection and diagnosis classification tree symbolic aggregate approximation association rule mining energy modelling heating transition modelling practices data-driven policy design local policy municipality multi-model ecologies energy transitions energy analytics data-driven methods building performance analysis energy efficiency energy flexibility occupant-centric design open energy data thermal building performance satellite-based solar radiation data meteorological reanalysis data ISO 52016-1 single-zone infiltration digital construction artificial intelligence digital twin nZEB energy management energy efficiency edge computing |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557715203321 |
Nastasi Benedetto
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Plug-in Hybrid Electric Vehicle (PHEV)
| Plug-in Hybrid Electric Vehicle (PHEV) |
| Autore | VAN Mierlo Joeri |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (230 p.) |
| Soggetto non controllato |
hybrid energy storage system
plug-in hybrid electric vehicle Li-ion battery emerging electric machines lithium-ion capacitor electric vehicles (EVs) efficient energy management strategies for hybrid propulsion systems plug-in hybrid attributional electric vehicle energy system energy efficiency modified one-state hysteresis model air quality adaptive neuron-fuzzy inference system (ANFIS) Markov decision process (MDP) simulated annealing Paris Agreement mobility needs interleaved multiport converte dynamic programming state of health estimation strong track filter LCA modelling consequential losses model voltage vector distribution parallel hybrid electric vehicle electricity mix time-delay input convex optimization lifetime model artificial neural network (ANN) Li(Ni1/3Co1/3Mn1/3)O2 battery battery power CO2 capacity degradation regenerative braking open-end winding novel propulsion systems group method of data handling (GMDH) state of charge Well-to-Wheel energy storage systems including wide bandgap (WBG) technology wide bandgap (WBG) technologies marginal lithium polymer battery life-cycle assessment (LCA) energy management dual inverter lithium-ion battery measurements plug-in hybrid electric vehicles (PHEVs) emerging power electronics Q-learning (QL) fuel consumption characteristics Plugin Hybrid electric vehicle Energy Storage systems meta-analysis range-extender engine-on power reinforcement learning (RL) multi-objective genetic algorithm power sharing energy management strategy power distribution hybrid electric vehicles system modelling |
| ISBN | 3-03921-454-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Plug-in Hybrid Electric Vehicle |
| Record Nr. | UNINA-9910367565103321 |
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VAN Mierlo Joeri
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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