mounalab/Multivariate-time-series-forecasting-keras
This project provides implementations with Keras/Tensorflow of some deep learning algorithms for Multivariate Time Series Forecasting: Transformers, Recurrent neural networks (LSTM and GRU), Convolutional neural networks, Multi-layer perceptron
This project helps operations managers and data analysts predict multiple related trends over time. You input historical time-series data, such as electricity consumption across different household appliances, and it outputs predictions for how these trends will evolve in the future. This is ideal for someone needing to forecast interconnected metrics.
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Use this if you need to predict how several related factors, like different aspects of energy usage or market metrics, will change together over time.
Not ideal if you only need to forecast a single trend or don't have historical data for multiple interacting variables.
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77
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21
Language
Python
License
MIT
Category
Last pushed
Apr 08, 2022
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