Tagged with: Energy Data


PROPOSAL

How much does our smart meter readings disclose about us? Can we disentangle the oven from the washing machine from the kettle? Can we identify demographics and behavior patterns from the stream of …
Supervisors: Niels Ørbæk Chemnitz
Semester: Fall 2021
Tags: NILM, ML, IoT, Energy Data, Smart Meters, Python, Data Science, Time-Series Data

Exploring unions as a frame for productive conflicts and governance of personal energy data collected through virtual power plants and aggregators.

Tags: Data Governance, Virtual Power Plants, Unions, Personal Data, Energy Data