A Numerical–Textual Dual-Channel Forecasting Framework for Short-Term Load Forecasting
Short-term load forecasting underpins power-system dispatching, yet classical models degrade when historical samples are scarce. This paper proposes NTSForecast, a numerical–textual dual-channel framework: a trainable multi-layer perceptron encodes the numerical input, a frozen large language model (LLM) embeds the tas...