AI4Demand: Development of short-term energy demand and consumption forecasting module using novel AI computational approaches
AI4Demand, an AI-based multi-layer tool for building energy consumption and demand prediction using local weather forecasts and sensor data, coordinated by AMPER S&C IoT S.L in Spain, will solve challenges in two areas of experimentation: AI applications in energy and Demand forecast.
Categories
Who will help implement the AI solution?
AMPER S&C IoT (S&C) is a technology SME founded in 2006 in Barcelona (Spain) developing innovative solutions for the smart energy, smart buildings, and industry 4.0 sectors. Innovation is at the core of its business strategy, and it actively participates in research and innovation projects to add new functionalities and services to its commercial solutions. Our two main commercial solutions include enControl - a complete smart home solution, and ioLocate - a real time asset tracking solution.
What is the AI solution the project plans to implement?
We are excited to be part of the I-NERGY community through our open call project AI4Demand in which we are developing a short-term energy demand and consumption forecasting module using novel AI computational approaches where the cause-and-effect relations between energy data and external influencing factors like weather forecasts are considered and analyzed. This can provide an in-depth analysis of rapid changes in consumers’ behavior and thus offer more flexibility in the management of energy systems. We hope to integrate the results from this project in our commercial solution in the future and contribute to the AIoD and I-NERGY ecosystems and distribute it under OSI-approved open-source license.
For further information about AI4Demand project, you can contact on spaces @diguaruchamy or you can send an email at: digu.aruchamy@sensingcontrol.com
For more information about our company and the innovative projects that we are involved in, please visit our website https://www.sensingcontrol.com/en/