3 papers
cs.LG2026
Transformer-based few-shot learning for modeling Electricity Consumption Profiles with minimal data across thousands of domains
Weijie Xia, Gao Peng, Chenguang Wang +3
Electricity Consumption Profiles (ECPs) are crucial for operating and planning power distribution systems, especially with the increasing number of low-carbon technologies such as…
cs.LG2025
A Flow-Based Model for Conditional and Probabilistic Electricity Consumption Profile Generation and Prediction
Weijie Xia, Chenguang Wang, Peter Palensky +1
Residential Load Profile (RLP) generation and prediction are critical for the operation and planning of distribution networks, especially as diverse low-carbon technologies (e.g.,…
cs.LG2025
Efficient Training of Multi-task Neural Solver for Combinatorial Optimization
Chenguang Wang, Zhang-Hua Fu, Pinyan Lu +1
Efficiently training a multi-task neural solver for various combinatorial optimization problems (COPs) has been less studied so far. Naive application of conventional multi-task le…