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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 online resource (346 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
activation current
ambient influences appliance load signatures appliance recognition attention mechanism convolutional neural network Convolutional Neural Network data annotation data privacy data-driven approaches deep learning deep neural network deep neural networks device classification accuracy distance similarity matrix electric load simulation electric vehicle electrical energy electricity theft detection energy consumption energy data analytics energy data processing energy disaggregation ethics exponential distribution fryze power theory Gaussian mixture models GDPR K-means cluster load disaggregation load scheduling machine learning mathematical modeling multi-label learning n/a NILM NILM datasets non-intrusive load monitoring Non-intrusive Load Monitoring Non-Intrusive Load Monitoring (NILM) nontechnical losses Poisson distribution power consumption data power signature pulse generator random forest real-time review satisfaction semi-automatic labeling Shapley Value signature simulation smart energy system smart grid smart grids smart meter smart meter data smart metering smart meters smart power grids solar photovoltaics synthetic data synthetic minority oversampling technique text convolutional neural networks (TextCNN) time-series classification transient load signature transients user-centric applications of energy data V-I trajectory |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557645803321 |
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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Life Cycle Prediction and Maintenance of Buildings
| Life Cycle Prediction and Maintenance of Buildings |
| Autore | de Brito Jorge |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (256 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
Asset Management
building building components building elements building renovation buildings changing operational environment climate adaptation climate change climate targets conservation construction material Decision Support System degradation degree of wear Digitization durability energy efficiency energy price energy supply system existing structures Facility Condition Index Facility Management Gaussian mixture models healthcare infrastructures indoor climate quality inspection Insurance insurance premium internal rate of return Key Performance Indicators KPIs life cycle Life Cycle Assessment uncertainties life cycle costs life cycle economy linoleum and vinyl floorings long-term weathered maintainability maintenance management mathematical models municipal building procurement n/a natural stone natural stone claddings operation Operations Maintenance & pathology payback period performance characteristics preventive maintenance reinforced concrete Repairs retrofit risk assessment secondary databases seismic hazard service life service life prediction service life prediction models single-family house single-sided NMR statistical survey steel corrosion strength degradation Swedish climate zones technical condition thermal insulation system time-dependent reliability water repellents |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557595003321 |
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de Brito Jorge
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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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Quantifying Aesthetics of Visual Design Applied to Automatic Design : Doctoral Thesis accepted by Purdue University / Ali Jahanian
| Quantifying Aesthetics of Visual Design Applied to Automatic Design : Doctoral Thesis accepted by Purdue University / Ali Jahanian |
| Autore | Jahanian, Ali |
| Pubbl/distr/stampa | Cham, : Springer, 2016 |
| Descrizione fisica | xiv, 137 p. : ill. ; 24 cm |
| Soggetto topico | 00A79 (77-XX) - Physics [MSC 2020] |
| Soggetto non controllato |
Automatic design of visual media
Design Mining Gaussian mixture models Graphical materials Latent Dirichlet Allocation Dual Topic Model Quantification of Aesthetics Quantification of Visual Design |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0169822 |
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Jahanian, Ali
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| Cham, : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Quantifying Aesthetics of Visual Design Applied to Automatic Design : Doctoral Thesis accepted by Purdue University / Ali Jahanian
| Quantifying Aesthetics of Visual Design Applied to Automatic Design : Doctoral Thesis accepted by Purdue University / Ali Jahanian |
| Autore | Jahanian, Ali |
| Pubbl/distr/stampa | Cham, : Springer, 2016 |
| Descrizione fisica | xiv, 137 p. : ill. ; 24 cm |
| Soggetto topico | 00A79 (77-XX) - Physics [MSC 2020] |
| Soggetto non controllato |
Automatic design of visual media
Design Mining Gaussian mixture models Graphical materials Latent Dirichlet Allocation Dual Topic Model Quantification of Aesthetics Quantification of Visual Design |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00169822 |
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Jahanian, Ali
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| Cham, : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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