AFCANet: An Axis-Factorized Convolution–Attention Network for Portfolio-Level Customer Baseline Load Estimation
AFCANet is proposed, which folds the one-dimensional CBL time series into a period-aligned two-dimensional tensor whose two axes describe different things, and which supports accurate curtailment measurement and fair financial settlement in incentive-based demand response.