Short-Term Aggregated Residential Load Forecasting using BiLSTM and CNN-BiLSTM

1 code implementation • 10 Feb 2023 • Bharat Bohara, Raymond I. Fernandez, Vysali Gollapudi, Xingpeng Li

Using a publicly available dataset consisting of 38 homes, the BiLSTM and CNN-BiLSTM models are trained to forecast the aggregated active power demand for each hour within a 24 hr.

Load Forecasting