This document is the full text of the paper “Scalable and Lightweight Machine Learning Based Load Forecast: Netload versus Disaggregrated Forecast” presented and published by GENTE research partner Chalmers University of Technology at the 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE) conference. The paper is published on IEEE Xplore (here). Further info and paper also available on the Chalmers research portal (here).
