SOURCE-LINKED INTELLIGENCE
LoaDiff: Conditional Generation of Electricity Consumption Time Series for Energy Analytics
The energy transition is reshaping residential electricity consumption through the increasing adoption of distributed generation, electrified appliances, and demand-response programs. Understanding these evolving behaviors requires access to granular smart-meter data for applications such as load forecasting, appliance detection, and demand-side flexibility analysis. However, such data are subject to strict access restrictions and data-protection regulations. Thus, realistic synthetic alternatives are necessary. In this paper, we introduce LoaDiff, a diffusion-based generative model for year-l
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-10T14:46:30.000Z
First collected: 2026-09-20T19:02:05.452Z. This is not the publication date.