Adapting to climate change: exploring the efficacy of transformer models in forecasting wildfires in Australia
Five distinct architectures namely TimesNet, Crossformer, PatchTST, iTransformer, iTransformer, and DLinear are investigated, chosen for their ability to model temporal dependencies and capture long-term trends in time series data to offer significant insights into developing effective forecasting models.