1. NILM applications: Literature review of learning approaches, recent developments and challenges;Angelis;Energy Build.,2022
2. Smart Metering Equipment Technical Specifications Version 2;Anon,2013
3. Delivering the European green deal;Anon,2022
4. Deep batch active learning by diverse, uncertain gradient lower bounds;Ash,2019
5. A method for stopping active learning based on stabilizing predictions and the need for user-adjustable stopping;Bloodgood,2014