State-of-the-art predictive and prescriptive analytics for IEEE CIS 3rd Technical Challenge
This work addresses a specific competition challenge, representing an incremental application of existing methods to a new dataset.
The paper tackled a predict+optimize challenge by using an ensemble of LightGBM models for prediction and mathematical optimization for prescription, achieving 1st place in optimization and 2nd in prediction in the IEEE CIS competition.
In this paper, we describe our proposed methodology to approach the predict+optimise challenge introduced in the IEEE CIS 3rd Technical Challenge. The predictive model employs an ensemble of LightGBM models and the prescriptive analysis employs mathematical optimisation to efficiently prescribe solutions that minimise the average cost over multiple scenarios. Our solutions ranked 1st in the optimisation and 2nd in the prediction challenge of the competition.