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The AI4Demand project presents a short-term (daily or hourly) energy demand and consumption forecasting module using novel AI-based approaches where the cause-and-effect relations between energy data and externally influencing factors (energy and weather-related indicators) are considered and analyzed.

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AI4Demand

The AI4Demand project presents a short-term (daily or hourly) energy demand and consumption forecasting module using novel AI-based approaches where the cause-and-effect relations between energy data and externally influencing factors (energy and weather-related indicators) are considered and analyzed.

Energy_Weather_data folder presents datasets related to the hourly and daily electricity consumption of buildings located in Helsinki and weather-related indicators from the nearest meteorological station

This project has received funding from the European Union's Horizon 2020 research and innovation program within the framework of the I-NERGY Project, funded under grant agreement No 101016508

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The AI4Demand project presents a short-term (daily or hourly) energy demand and consumption forecasting module using novel AI-based approaches where the cause-and-effect relations between energy data and externally influencing factors (energy and weather-related indicators) are considered and analyzed.

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