multi-horizon-forecasting

Using Temporal Fusion Transformer for Book sales forecasting use case. We use the model implementation available in Pytorch Forecasting library.

Contains the code for the paper "Multi-Horizon Short-Term Load Forecasting Using Hybrid of LSTM and Modified Split Convolution"

Stochastic linear program for investments in the European power system. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711021001424

Multi-horizon OHLCV forecasting with RNN, GRU, and LSTM models, hyperparameter search, and visual evaluation.

Transformer time-series forecasting experiment comparing self-attention with persistence and linear autoregression on sunspot activity.

Benchmark and reproducibility code for CDC-aligned influenza forecasting with time series foundation models, PatchTST, iTransformer, Chronos, TimeLLM, and MultiFoundationCore.