The LIBRA AI team had participated in the incentive prize competition organised by the largest water supply and sewerage company in Greece, EYDAP, in cooperation with MIT Enterprise Forum Greece and with the support of the Hellenic Corporation of Assets and Participations S.A. (HCAP) and was awarded for its ML solution in the 2nd category "Algorithm for Predicting Water Meter Consumption".

The EYDAP InnoChallenge competition's have called the Greek Start-Ups to develop models that will predict future water meter readings. This Competition is part of the HCAP Innovation Challenge series, which are primarily data-driven competitions that require skills, knowledge, and hard teamwork to succeed. Through these challenges, the HCAP portfolio companies (public corporations operating in critical sectors of the Greek economy) aim to acquire innovative solutions that are hard to specify and hence expensive and can add high value and efficiency to their operations. 

Our industrious and talented "EYDAP Innovators" the junior data scientists Evangelos Fekas, Eleanna Kouletou, Eirini Ntarouis and Panagiotis Zogas, supported in ML engineering aspects by Zisis Flokas and Athanasios Balomenos, and scientifically supervised by Yannis Kopsinis, provided an innovative and ready-to-adapt Machine Learning solution for the prediction of the company's water meters' consumption in a period of three months. The problem they came to solve was complex since it incorporated the processing of a vast number of raw historical data coming from over 150K water meters across the most densely populated region in Greece, the Attica Region and covering over 10 years of measurements. More than 20 different Machine Learning architectures and legacy statistical models were developed, passed stringent testing, and packaged as an AutoML framework. This is an asset of LIBRA for future use in several projects of ours. Our prediction algorithm had the second best performance in this task, and our team received the prize in an awards ceremony organised on the 24 of March, in Athens, by the EYDAP CEO, Mr Harry Sachini.

The EYDAP Innovation Challenge was an exceptional opportunity for LIBRA AI Technologies to expose four of its junior data scientists working part-time to a difficult yet fascinating real-life problem, train them throughout the process, and help them excel in such a prestigious competition. Congratulations to all and many thanks to LIBRA's scientific advisor, Prof. Aggelo Pikraki, for his impactful tips during the early stages of the project.