Great opportunity to work & study in energy data machine learning & signal analysis as an Early-Stage Researcher (ESR) on the GECKO project under the HORIZON 2020 research framework. The project will target interpretable and explainable Artificial Intelligence (AI) and explore alternative methods to build machine learning (ML) models drawing on the latest developments in […]
We would like to present the new eco-bot project video presented in the NILM2020 workshop in Nov 2020, demonstrating how eco-bot is providing appliance-level consumption feedback via NILM and a chatbot during our European-wide consumer trials.
The eco-bot project was successfully presented by Dr. Lina Stankovic of the University of Strathclyde at the (online) 5th International Workshop on Non-Intrusive Load Monitoring in two sessions: “Explainable NILM” in Technical session 1, and “Evaluation of low-complexity supervised and unsupervised NILM methods and pre-processing for detection of multistate white goods” in the short talks […]
eco-bot partners University of Strathclyde, Dexma Tech and Plegma Labs participated at the 4th European Workshop on Non-Intrusive Load Monitoring in London UK, where all major state-of-the art players in NILM come together to exchange knowledge on energy disaggregation.