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Advances on Smart Cities and Smart Buildings
| Advances on Smart Cities and Smart Buildings |
| Autore | Roccotelli Michele |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (226 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
cycle logistics
European projects goods delivery bike delivery cargo cycle cargo bike bike sharing system expansion areas category clustering batches prediction extended range electric vehicle technologies optimization methods EREV key components level optimization urban accessibility Distrito Tec Monterrey Metropolitan Zone (MMZ) Urban Basic Geostatistical Areas (AGEBs) 15 minutes city UrMoAC smart networks digitization smart transit cyber security smart city smarter communities smart sensors smart meters internet of things (IoT) facial recognition cyber privacy time series analysis energy demand forecast ARIMA hybrid model power theft itinerary planning smart tourism graph theory heuristic approach smart water/energy/mobility open innovation challenge living lab challenge-based learning electric vehicle vehicle-to-grid vehicle-to-building electric vehicle emulator electric vehicle supply equipment smart grid |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576875603321 |
Roccotelli Michele
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Energy Data Analytics for Smart Meter Data
| Energy Data Analytics for Smart Meter Data |
| Autore | Reinhardt Andreas |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (346 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
smart grid
nontechnical losses electricity theft detection synthetic minority oversampling technique K-means cluster random forest smart grids smart energy system smart meter GDPR data privacy ethics multi-label learning Non-intrusive Load Monitoring appliance recognition fryze power theory V-I trajectory Convolutional Neural Network distance similarity matrix activation current electric vehicle synthetic data exponential distribution Poisson distribution Gaussian mixture models mathematical modeling machine learning simulation Non-Intrusive Load Monitoring (NILM) NILM datasets power signature electric load simulation data-driven approaches smart meters text convolutional neural networks (TextCNN) time-series classification data annotation non-intrusive load monitoring semi-automatic labeling appliance load signatures ambient influences device classification accuracy NILM signature load disaggregation transients pulse generator smart metering smart power grids power consumption data energy data processing user-centric applications of energy data convolutional neural network energy consumption energy data analytics energy disaggregation real-time smart meter data transient load signature attention mechanism deep neural network electrical energy load scheduling satisfaction Shapley Value solar photovoltaics review deep learning deep neural networks |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557645803321 |
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Reinhardt Andreas
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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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Market Design for a High-Renewables Electricity System
| Market Design for a High-Renewables Electricity System |
| Autore | Strielkowski Wadim |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (328 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
renewable energy
sustainable development gross domestic product GDP electrical capacity energy intensity hierarchical cluster analysis energy policy wholesale market design Electricity markets power system conceptual architecture distributed generation flexible resources local electricity markets electricity market design direct current distribution system local market flexibility microgrids continuous double auction Q-learning algorithm battery energy storage system, Q-cube framework bidding strategy emissions trading electricity price econometric modeling time series analysis emission allowance electricity market speculative trading forward market integration of renewable sources integrated markets co-optimization reserve allocation biofuels electricity generation power sector biomass Jatropha curcas system integration power industry state policy smart metering tariff rates system marginal price renewable energy sources photovoltaics day ahead market merit order curve electricity demand seasonal and daily variation RES (renewable energy sources) surcharge energy market artificial intelligence digital platform peer-to-peer trading mechanism clearing model clearing algorithm trading platform sustainability Internet of Energy smart meters smart grid husk energy supply efficiency carbon dioxide emissions energy efficiency economic growth energy consumption Czech Republic Slovakia |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557624003321 |
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Strielkowski Wadim
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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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