Can I read LSTM Load Curtailment Prediction in DR on EtoBox?

LSTM Load Curtailment Prediction in DR by klaim.game27 is a document available to read on EtoBox.

What is LSTM Load Curtailment Prediction in DR about?

This document presents a deep learning model using LSTM to predict load curtailment in demand response systems. It trains a two-layer LSTM model on historical energy consumption and demand response event data to predict next day energy consumption. Load curtailment is then calculated by subtracting predicted consumption from the baseline load. Testing on two real-world datasets, it achieved 26-36% lower error than predicting load curtailment as the average of past demand response results.

Author

klaim.game27

Language

EN