Can you describe your project in a few words?

GRIDouble is a comprehensive energy management tool that completely automates finding optimal patterns in energy consumption and production in the case of facilities with renewable energy sources. It will be offered to end users in the form of SaaS, thus enabling them to optimize energy savings without investment in scarce available data science and optimization experts or the necessary computing infrastructure.

Who will help implement the AI solution?

Vodena is a company focused on R&D activities with its primary interest in software development in physical and data-driven modelling and simulation and optimization of both social and natural phenomena. We have developed several software solutions, including general data management, hydrological modelling and simulations, power production optimization, and data visualization, operational in the hydro-power industry. Our most outstanding achievement so far is developing and deploying a comprehensive data analysis and optimization solution employed at the “Iron Gate” hydro-power plant on the Danube River. In the previous years, we have successfully participated in several EU projects focused on implementing cutting-edge technologies in the energy sector and other industries.

What is the AI solution the project plans to implement?

Our innovative approach uses automated machine learning (AutoML) to automatically generate data-driven predictive models of diverse energy sources, consumers, and storage within a system. Based on the data acquired during the grid exploitation, GRIDouble automatically creates adequate predictive models of energy production and consumption, which are improved by using publicly available data on weather, working days, electricity prices, solar irradiation, etc.