About this document
LSTM-Based Drought Forecasting Model by mosaad khadr is a document available to read on EtoBox.
This document discusses a study that used a deep learning approach called Long Short-Term Memory (LSTM) neural network to forecast drought conditions, as measured by the Standard Precipitation Evaporation Index (SPEI), over New South Wales, Australia. The LSTM model achieved high accuracy in forecasting SPEI values up to 1 month in advance based on statistical metrics. Analysis of drought characteristics like intensity, category, and spatial variation showed the LSTM approach improved drought forecasting re
- Author
- mosaad khadr
- Language
- EN