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| 003 | ES-MaUEC | ||
| 005 | 20230102121515.0 | ||
| 006 | a||||fo|||| 00| 0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 220319s2021 sz | s |||| 0|eng d | ||
| 020 | _a9783030764777 | ||
| 024 | 7 |
_a10.1007/978-3-030-76477-7 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aTJ163.5.B84 _b2021 EB |
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| 245 | 0 | 0 |
_aTowards Energy Smart Homes : _bAlgorithms, Technologies, and Applications _cedited by Stephane Ploix, Manar Amayri, Nizar Bouguila |
| 250 | _aFirst edition 2021 | ||
| 264 | 1 |
_aCham _bSpringer International Publishing _c2021 |
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| 300 |
_a1 recurso en línea (XVI, 620 páginas) _b 331 ilustraciones, 292 ilustraciones a color |
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| 336 |
_2rdacontent _aTexto _btxt |
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| 337 |
_2rdamedia _aelectrónico _bc |
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| 338 |
_2rdacarrier _arecurso electrónico _bcr |
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| 347 |
_aarchivo de texto _bPDF |
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| 490 | 0 | _aEngineering (SpringerNature-11647) | |
| 490 | 0 | _aEngineering (R0) (SpringerNature-43712) | |
| 505 | 0 | _aIntroduction -- Smart grids, districts and energy smart homes -- Urban modeling and analytics in a smart context -- What kind of technologies for Smart-Homes -- Services for energy smart home -- Modeling and calibration for energy management in smart-places -- Machine Learning: a fundamental tool for smart-places -- Estimate building system state -- Disaggregate loads to analyze human behavior predicting energy demand -- Determine the best actions -- Generate explanation -- Human machine interface (HMI) -- Diagnose appliance and sensor faults but also misbehavior -- Tools for Energy Management system -- Conclusion. | |
| 520 | 3 | _aThis book exemplifies how smart buildings have a crucial role to play for the future of energy. The book investigates what already exists in regards to technologies, approaches and solutions both with a scientific and technological point of view. The authors cover solutions for mirroring and tracing human activities, optimal strategies to configure home settings, and generating explanations and persuasive dashboards to get occupants better committed in their home energy managements. Solutions are adapted from the fields of Internet of Things, physical modeling, optimization, machine learning and applied artificial intelligence. Practical applications are given throughout: -Presents both theory and application on economic and social perspective of energy smart-homes; -Covers topics from smart grids and urban energetics to smart meters and Internet of Things; -Written by researchers from various communities including economy, building physics, control, artificial intelligence and informatics. | |
| 988 | _aSpringer_Engineering_2021 | ||
| 650 | 7 |
_2embne _9360437 _aEdificios _xAhorro de energía |
|
| 700 | 1 |
_aPloix, Stephane _eeditor literario _4 _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aAmayri, Manar _eeditor literario _4 _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aBouguila, Nizar _eeditor literario _4 _4http://id.loc.gov/vocabulary/relators/edt |
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| 776 | 0 | 8 |
_iPrinted edition: _z9783030764760 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030764784 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030764791 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-76477-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_b03/2022 _dz _eIG _zSI |
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