EYDAP’s innovation challenge for ML-based predictions
Zelus is excited to participate in EYDAP’s innovation challenge involving the creation of ML algorithms to tackle issues faced by the company on their every day operations.
Zelus participated by providing an algorithm to predict consumption of water supply in a wide city area involving around 115000 water pipelines. The solution involved the preparation of the given dataset and a mixture of state-of-the-art ML techniques (GPU-assisted decision trees, time-series analysis, neural networks) to produce results of high precision.
