Algorithmic Detection of Home Appliances from Smart Meter Data
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| Preise | 2015 | 2016 | 2019 |
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| Schnitt | € 29,28 | € 30,97 | € 27,76 |
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1
Algorithmic Detection of Home Appliances from Smart Meter Data
~EN NW ABISBN: 9783639858464 bzw. 3639858468, vermutlich in Englisch, VDM Verlag Dr. Müller, Saarbrücken, Deutschland, neu, Hörbuch.
Lieferung aus: Österreich, Lieferzeit: 5 Tage, zzgl. Versandkosten.
Reducing the overall energy waste is one of the most pressing challenges of mankind. The energy consumption of individuals can be reduced by providing them with information about the consumption of single appliances in their household. The field of Non-intrusive Appliance Load Monitoring or Energy Disaggregation detects single devices from aggregated loads. Smart meters provide an easy solution to extract momentary values of the device-aggregated energy consumption for further processing. This publication summarizes a proof-of-concept implementation from data extraction via standard smart meters to the detection of appliances of interest (AOIs). Data extraction is based on a low cost hardware with an extraction computer script. The developed disaggregation algorithms were trained with device parameters to detect three AOIs: freezer, dishwasher, and dryer. Through the generality of the concept, the algorithms could be trained to detect other appliance models or classes. Leveraging standard interfaces, the implementation could be reproduced in different households with an installed standard smart meter.
Reducing the overall energy waste is one of the most pressing challenges of mankind. The energy consumption of individuals can be reduced by providing them with information about the consumption of single appliances in their household. The field of Non-intrusive Appliance Load Monitoring or Energy Disaggregation detects single devices from aggregated loads. Smart meters provide an easy solution to extract momentary values of the device-aggregated energy consumption for further processing. This publication summarizes a proof-of-concept implementation from data extraction via standard smart meters to the detection of appliances of interest (AOIs). Data extraction is based on a low cost hardware with an extraction computer script. The developed disaggregation algorithms were trained with device parameters to detect three AOIs: freezer, dishwasher, and dryer. Through the generality of the concept, the algorithms could be trained to detect other appliance models or classes. Leveraging standard interfaces, the implementation could be reproduced in different households with an installed standard smart meter.
2
Algorithmic Detection of Home Appliances from Smart Meter Data - Proof-of-concept implementation of Energy Disaggregation algorithms based on data generated from smart meters
~EN PB NWISBN: 9783639858464 bzw. 3639858468, vermutlich in Englisch, AV Akademikerverlag, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
Algorithmic Detection of Home Appliances from Smart Meter Data: Reducing the overall energy waste is one of the most pressing challenges of mankind. The energy consumption of individuals can be reduced by providing them with information about the consumption of single appliances in their household. The field of Non-intrusive Appliance Load Monitoring or Energy Disaggregation detects single devices from aggregated loads. Smart meters provide an easy solution to extract momentary values of the device-aggregated energy consumption for further processing. This publication summarizes a proof-of-concept implementation from data extraction via standard smart meters to the detection of appliances of interest (AOIs). Data extraction is based on a low cost hardware with an extraction computer script. The developed disaggregation algorithms were trained with device parameters to detect three AOIs: freezer, dishwasher, and dryer. Through the generality of the concept, the algorithms could be trained to detect other appliance models or classes. Leveraging standard interfaces, the implementation could be reproduced in different households with an installed standard smart meter. Englisch, Taschenbuch.
Algorithmic Detection of Home Appliances from Smart Meter Data: Reducing the overall energy waste is one of the most pressing challenges of mankind. The energy consumption of individuals can be reduced by providing them with information about the consumption of single appliances in their household. The field of Non-intrusive Appliance Load Monitoring or Energy Disaggregation detects single devices from aggregated loads. Smart meters provide an easy solution to extract momentary values of the device-aggregated energy consumption for further processing. This publication summarizes a proof-of-concept implementation from data extraction via standard smart meters to the detection of appliances of interest (AOIs). Data extraction is based on a low cost hardware with an extraction computer script. The developed disaggregation algorithms were trained with device parameters to detect three AOIs: freezer, dishwasher, and dryer. Through the generality of the concept, the algorithms could be trained to detect other appliance models or classes. Leveraging standard interfaces, the implementation could be reproduced in different households with an installed standard smart meter. Englisch, Taschenbuch.
3
Algorithmic Detection of Home Appliances from Smart Meter Data: Proof-of-concept implementation of Energy Disaggregation algorithms based on data generated from smart meters (2015)
EN PB USISBN: 9783639858464 bzw. 3639858468, in Englisch, 60 Seiten, AV Akademikerverlag, Taschenbuch, gebraucht.
从新: $27.83 (16 提供)
从使用: $37.13 (7 提供)
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Von Händler/Antiquariat, super_star_seller.
Reducing the overall energy waste is one of the most pressing challenges of mankind. The energy consumption of individuals can be reduced by providing them with information about the consumption of single appliances in their household. The field of Non-intrusive Appliance Load Monitoring or Energy Disaggregation detects single devices from aggregated loads. Smart meters provide an easy solution to extract momentary values of the device-aggregated energy consumption for further processing. This publication summarizes a proof-of-concept implementation from data extraction via standard smart meters to the detection of appliances of interest (AOIs). Data extraction is based on a low cost hardware with an extraction computer script. The developed disaggregation algorithms were trained with device parameters to detect three AOIs: freezer, dishwasher, and dryer. Through the generality of the concept, the algorithms could be trained to detect other appliance models or classes. Leveraging standard interfaces, the implementation could be reproduced in different households with an installed standard smart meter. Paperback, 标签: AV Akademikerverlag, AV Akademikerverlag, 产品组: Book, 出版: 2015-08-20, 发布日期: 2015-08-20, 工作室: AV Akademikerverlag, 销售排名: 3778144.
Von Händler/Antiquariat, super_star_seller.
Reducing the overall energy waste is one of the most pressing challenges of mankind. The energy consumption of individuals can be reduced by providing them with information about the consumption of single appliances in their household. The field of Non-intrusive Appliance Load Monitoring or Energy Disaggregation detects single devices from aggregated loads. Smart meters provide an easy solution to extract momentary values of the device-aggregated energy consumption for further processing. This publication summarizes a proof-of-concept implementation from data extraction via standard smart meters to the detection of appliances of interest (AOIs). Data extraction is based on a low cost hardware with an extraction computer script. The developed disaggregation algorithms were trained with device parameters to detect three AOIs: freezer, dishwasher, and dryer. Through the generality of the concept, the algorithms could be trained to detect other appliance models or classes. Leveraging standard interfaces, the implementation could be reproduced in different households with an installed standard smart meter. Paperback, 标签: AV Akademikerverlag, AV Akademikerverlag, 产品组: Book, 出版: 2015-08-20, 发布日期: 2015-08-20, 工作室: AV Akademikerverlag, 销售排名: 3778144.
4
Algorithmic Detection of Home Appliances from Smart Meter Data
~EN PB NWISBN: 3639858468 bzw. 9783639858464, vermutlich in Englisch, AV Akademikerverlag, Taschenbuch, neu.
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5
Algorithmic Detection of Home Appliances from Smart Meter Data (2015)
DE PB NWISBN: 9783639858464 bzw. 3639858468, in Deutsch, Av Akademikerverlag, Taschenbuch, neu.
Lieferung aus: Niederlande, 5-7 werkdagen.
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6
Algorithmic Detection of Home Appliances from Smart Meter Data by Schaal.
EN NWISBN: 9783639858464 bzw. 3639858468, in Englisch, VDM Verlag Dr. Müller, Saarbrücken, Deutschland, neu.
Lieferung aus: Vereinigte Staaten von Amerika, Lieferart: Free, Lieferung: Vereinigte Staaten von Amerika, Artikelstandort: USA, Versandkostenfrei.
Von Händler/Antiquariat, barnesandnobleinc - Barnes and Noble Store.
Sold directly by Barnes & Noble, Festpreisangebot.
Von Händler/Antiquariat, barnesandnobleinc - Barnes and Noble Store.
Sold directly by Barnes & Noble, Festpreisangebot.
7
Algorithmic Detection of Home Appliances from Smart Meter Data (2015)
DE PB NWISBN: 9783639858464 bzw. 3639858468, in Deutsch, AV Akademikerverlag, Taschenbuch, neu.
Lieferung aus: Deutschland, zzgl. Versandkosten, sofort lieferbar.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
8
Algorithmic Detection of Home Appliances from Smart Meter Data 9783639858464
DE NWISBN: 9783639858464 bzw. 3639858468, in Deutsch, VDM Verlag Dr. Müller, Saarbrücken, Deutschland, neu.
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, Lieferart: Free, Lieferung: Weltweit, Artikelstandort: NR70WF Norwich,United Kingdom, Versandkostenfrei.
Von Händler/Antiquariat, oodals_uk - Oodals UK.
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Von Händler/Antiquariat, oodals_uk - Oodals UK.
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