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Energy Consumption in a Smart City
| Energy Consumption in a Smart City |
| Autore | Nastasi Benedetto |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (270 p.) |
| Soggetto topico |
Physics
Research & information: general |
| Soggetto non controllato |
asymmetric duty cycle control
augmented reality bifilar coil building energy flexibility building energy load Building Information Modelling (BIM) building operation and maintenance building performance assessment building performance simulation buildings office buildings retrofitting carbon emission intensity climate change CO2 emission cooling load daily energy need decarbonisation of neighbourhoods difference-in-differences digital transformation Digital Twin (DT) digital twins district energy infrastructure economic feasibility energy consumption energy saving energy transition extended reality future weather Geographic Information System (GIS) GIS Green Building Index green innovation historical buildings HOMER software immersive technologies indoor environment quality induction heating load shifting metal melting metaverse mixed reality n/a nZEB occupant's comfort occupants' satisfaction operative temperature peak clipping phase shift control positive energy district post-occupancy evaluation pulse density modulation pulse duty cycle control Renewable Energy Systems (RESs) Revit software's series resonant inverter smart city policy solar gains thermal load TRNSYS tropical climate variable frequency control virtual reality window allocation Zero Energy District (ZED) |
| ISBN | 3-0365-5963-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910637793403321 |
Nastasi Benedetto
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Innovative Learning Environments in STEM Higher Education [[electronic resource] ] : Opportunities, Challenges, and Looking Forward / / edited by Jungwoo Ryoo, Kurt Winkelmann
| Innovative Learning Environments in STEM Higher Education [[electronic resource] ] : Opportunities, Challenges, and Looking Forward / / edited by Jungwoo Ryoo, Kurt Winkelmann |
| Autore | Ryoo Jungwoo |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Springer Nature, 2021 |
| Descrizione fisica | 1 online resource (XV, 137 p. 8 illus., 7 illus. in color.) |
| Disciplina | 519.5 |
| Collana | SpringerBriefs in Statistics |
| Soggetto topico |
Statistics
Machine learning Learning Instruction Knowledge representation (Information theory) Statistics for Social Sciences, Humanities, Law Machine Learning Statistics and Computing/Statistics Programs Learning & Instruction Knowledge based Systems Educació STEM Educació superior |
| Soggetto genere / forma | Llibres electrònics |
| Soggetto non controllato |
Statistics for Social Sciences, Humanities, Law
Machine Learning Statistics and Computing/Statistics Programs Learning & Instruction Knowledge based Systems Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy Statistics and Computing Education Innovative Learning Environments ILEs Science, Technology, Engineering, and Math STEM virtual reality VR augmented reality mixed reality cross reality extended reality artificial intelligence AI adaptive learning personalized learning higher education multimodal learning mobile learning Open Access Social research & statistics Mathematical & statistical software Teaching skills & techniques Cognition & cognitive psychology Expert systems / knowledge-based systems |
| ISBN | 3-030-58948-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Introduction -- 2. X-FILEs Vision for personalized and Adaptive Learning -- 3. X-FILEs Vision for Multi-modal Learning Formats -- 4. X-FILEs Vision for Extended/Cross Reality (XR) -- 5. X-FILEs Vision for Artificial Intelligence (AI) and Machine Learning (ML) -- 6. Cross-Cutting Concerns -- 7. Epilogue. |
| Record Nr. | UNISA-996466564503316 |
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Ryoo Jungwoo
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| Springer Nature, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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