Department of Computer Science

Ph.D. defence by Bijay Neupane - 3 November 2017

In partial fulfillment of the terms for obtaining the PhD degree, Bijay Neupane will give a lecture on the following subject: Predictive Data Analytics for Energy Demand Flexibility on Friday 3rd of November 2017, 13:00, in room 0.2.12 at Selma Lagerlöfs Vej 300

Last modified: 24.10.2017


The depleting fossil fuel and environmental concerns have created a revolutionary movement towards the installation and utilization of Renewable Energy Sources (RES) such as wind and solar energy. The RES entails challenges, both in regards to the physical integration into a grid system and regarding management of the expected demand. The flexibility in energy demand can facilitate the alignment of the supply and demand to achieve a dynamic Demand Response (DR). The flexibility is often not explicitly available or provided by a user and has to be analyzed and extracted automatically from historical consumption data. The predictive analytics of consumption data can reveal interesting patterns and periodicities that facilitate the effective extraction and representation of flexibility. The device-level analysis captures the atomic flexibilities in energy demand and provides the largest possible solution space to generate demand/supply schedules.

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All interested parties are welcome. After the defense, the department will be hosting a small reception in cluster 3.

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