Gregor Verbic

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Journal article

16 Nov 2016

This paper presents a computationally efficient smart home energy management system (SHEMS) using an approximate dynamic programming (ADP) approach with temporal difference learning for scheduling distributed energy resources. This approach improves the performance of a SHEMS by incorporating stochastic energy consumption and PV generation models...

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