Adversarial Machine Learning in Smart Energy Systems
Published: Jun 15, 2019
Abstract
Smart Energy Systems represent a radical shift in the approach to energy generation and demand, driven by decentralisation of the energy system to large numbers of low-capacity devices. Managing this flexibility is often driven by machine learning, and requires real-time control and aggregation of these devices, involving a diverse set of companies and devices and creating a longer chain of trust. This poses a security risk, as it is sensitive...
Paper Details
Title
Adversarial Machine Learning in Smart Energy Systems
Published Date
Jun 15, 2019
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