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"
Deep learning framework for multi-horizon financial time series forecasting using RNN, GRU, and LSTM. Incorporates hyperparameter optimization, visualization, and multivariate sequence prediction across Open, High, Low, Close, and Volume indicators.
Stochastic linear program for investments in the European power system. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711021001424
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