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Ongoing (M52)
DATALESs: DATA-analytics for enhanced operation of Local Energy Systems from cyber-physical-social perspectives
FunderNetherlands Organisation for Scientific Research (NWO)
Duration01 Jul 2022 - 31 Dec 9999
Project code482.20.602
Open Access mandatePublications: NoResearch data: No
Identifiers
Project timeline0.1%
Description
In order to meet the 2030 emissions reduction targets of the Climate Agreement, the Dutch and Chinese government requires active participation of all energy systems users. Only by properly coordinating energy generation and consumption among all users, we will be able to ensure a safe provision of energy with minimum cost. In this project, we propose to use different sources of data combined with advanced AI and engineering methods to achieve this required level of coordination. We will also develop new understanding methods of acceptance of renewable technology by residential users.
Partners (17)
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In order to meet the 2030 emissions reduction targets of the Climate Agreement, the Dutch and Chinese government requires active participation of all energy systems users. Only by properly coordinating energy generation and consumption among all users, we will be able to ensure a safe provision of energy with minimum cost. In this project, we propose to use different sources of data combined with advanced AI and engineering methods to achieve this required level of coordination. We will also develop new understanding methods of acceptance of renewable technology by residential users.
