IEEE

Short-Term Electricity Load Forecasting Based on NeuralProphet and CNN-LSTM

Abstract: For distribution networks, accurate short-term load forecasting is a prerequisite for the safe and stable operation as well as economically optimized dispatching of the grid. In order to ...
GitHub

Time Series Foundation Model - TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting

The official code for ["TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting (ICLR 2024)"]. TEMPO is one of the very first open source Time Series Foundation Models for ...
IEEE

A Deep Learning Based Expert Framework for Portfolio Prediction and Forecasting

Abstract: Stock market forecasting involves predicting fluctuations and trends in the value of financial assets, utilizing statistical and machine learning models to analyze historical market data for ...
Nature

This AI model ‘studied’ physics — and learnt to forecast extreme weather

Artificial-intelligence tools have transformed weather forecasting, thanks to their ability to learn past patterns from observations and predict how future patterns might unfold. But until now, models ...