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Smart Meters

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Smart Meters
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20 048,00 JPY
Typical price2 135,06 PLN
Lowest (90 days)119,99 PLN
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2026-08-08 2026-08-15
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UppdateradPris
2026-08-08119,99
2026-08-15119,99
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SP SpringerNatureLink Shop INT 20 019,00 JPY 29,00 JPY 20 048,00 JPY Tillgänglig för 5 dagar sedan View offer
SP Springer Nature Author 20 019,00 JPY 25,00 JPY 20 044,00 JPY Tillgänglig för 1 vecka sedan View offer
SP SpringerNatureLink Shop INT 139,99 USD free 139,99 USD Tillgänglig för 5 dagar sedan View offer
SP SpringerNatureLink Shop INT 159,99 USD 25,00 USD 184,99 USD Tillgänglig för 5 dagar sedan View offer
SP SpringerNatureLink Shop INT 159,99 USD 25,00 USD 184,99 USD Tillgänglig för 5 dagar sedan View offer
SP SpringerNatureLink Shop INT 165,50 EUR 29,00 EUR 194,50 EUR Tillgänglig för 5 dagar sedan View offer

Priser och tillgänglighet kan ändras. Senast uppdaterad: 08.08.2026 22:34.

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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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