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Smart meters = artificial intelligen...
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Ould Abdeslam, Djaffar.
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Smart meters = artificial intelligence to support proactive management of energy consumption /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Smart meters/ edited by Djaffar Ould Abdeslam.
其他題名:
artificial intelligence to support proactive management of energy consumption /
其他作者:
Ould Abdeslam, Djaffar.
出版者:
Cham :Springer International Publishing : : 2023.,
面頁冊數:
vii, 216 p. :ill. (some col.), digital ;24 cm.
內容註:
Advanced state of the art based on smart meters already carried out in Europe and around the world -- Smart Meter consumer acceptance -- Smart Meters improved by NILM -- How to empower the consumers to take action to reduce energy consumption and GHG emissions -- How to guaranty the security level of the smart meter -- Modification and harmonization of the current legal framework for smart meters for a compatible cross-sectoral legal framework -- Techno-economic review of Smart Metering applications.
Contained By:
Springer Nature eBook
標題:
Electric meters. -
電子資源:
https://doi.org/10.1007/978-3-031-27556-2
ISBN:
9783031275562
Smart meters = artificial intelligence to support proactive management of energy consumption /
Smart meters
artificial intelligence to support proactive management of energy consumption /[electronic resource] :edited by Djaffar Ould Abdeslam. - Cham :Springer International Publishing :2023. - vii, 216 p. :ill. (some col.), digital ;24 cm. - Lecture notes in energy,v. 972195-1292 ;. - Lecture notes in energy ;v. 97..
Advanced state of the art based on smart meters already carried out in Europe and around the world -- Smart Meter consumer acceptance -- Smart Meters improved by NILM -- How to empower the consumers to take action to reduce energy consumption and GHG emissions -- How to guaranty the security level of the smart meter -- Modification and harmonization of the current legal framework for smart meters for a compatible cross-sectoral legal framework -- Techno-economic review of Smart Metering applications.
This book describes how equipping buildings with smart meters is essential to improve the prediction of energy costs within smart grids and to help end-users optimize their energy consumption. The book reports on the results of the European Upper Rhine INTERREG project SMI (www.smi.uha.fr), which connects artificial intelligence and micro-societal analysis. It is multidisciplinary and addresses the following aspects: social, legal, environmental, and technical. One of the critical factors for the transition to clean energy is the flexibility of the power grid. A flexible grid requires a constant flow of data about the network and its demand, on the other hand, clients who produce electrical power can be an active part of the demand response if they are informed about the power needs of their appliances. "If you cannot measure it, you cannot improve it." This common management saying also holds true for the area energy efficiency. Without a clear understanding of their energy usage, consumers are unable to take steps to reduce their consumption. A new intelligent tool is presented that is more efficient, safe, and acceptable to consumers. Thus, users of this intelligent tool will be able to collect and predict the consumption of their electrical appliances. At the same time, the consumption information is anonymized before being relayed to the energy supplier. In parallel, new techniques will be evaluated to improve the security level of the smart meter in a highly heterogeneous network.
ISBN: 9783031275562
Standard No.: 10.1007/978-3-031-27556-2doiSubjects--Topical Terms:
1639515
Electric meters.
LC Class. No.: TK351
Dewey Class. No.: 621.3745
Smart meters = artificial intelligence to support proactive management of energy consumption /
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This book describes how equipping buildings with smart meters is essential to improve the prediction of energy costs within smart grids and to help end-users optimize their energy consumption. The book reports on the results of the European Upper Rhine INTERREG project SMI (www.smi.uha.fr), which connects artificial intelligence and micro-societal analysis. It is multidisciplinary and addresses the following aspects: social, legal, environmental, and technical. One of the critical factors for the transition to clean energy is the flexibility of the power grid. A flexible grid requires a constant flow of data about the network and its demand, on the other hand, clients who produce electrical power can be an active part of the demand response if they are informed about the power needs of their appliances. "If you cannot measure it, you cannot improve it." This common management saying also holds true for the area energy efficiency. Without a clear understanding of their energy usage, consumers are unable to take steps to reduce their consumption. A new intelligent tool is presented that is more efficient, safe, and acceptable to consumers. Thus, users of this intelligent tool will be able to collect and predict the consumption of their electrical appliances. At the same time, the consumption information is anonymized before being relayed to the energy supplier. In parallel, new techniques will be evaluated to improve the security level of the smart meter in a highly heterogeneous network.
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