Smart Meters: Artificial Intelligence to Support Proactive Management of Energy Consumption

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, 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.