Informing hydropower energy generation in the Alps with ML approaches
A hands-on Case Study targeting the Energy module of SnowPower, developed by Amigo srl within the I-NERGY 1st Open Call.
AI is expected to dramatically reshape the energy sector. This section provides references on on-going projects and existing results in that area.
A hands-on Case Study targeting the Energy module of SnowPower, developed by Amigo srl within the I-NERGY 1st Open Call.
I-NERGY has launched its last Open Call, apply before 12th December 2022!
Snow Water Equivalent (SWE) estimation at coarse resolution (Alpine watersheds of France, Switzerland, Italy and Austria).
Watershed-aggregated values of a SWE indicator for selected Alpine watersheds. Daily values from March 2017 to December 2020. Developed by AMIGO s.r.l. for the SnowPower project, part of the I-NERGY 1st Open Call.
The document describes the datasets and setup of the ML models used for the estimation of Snow Water Equivalent (SWE) and runoff in Alpine watersheds within the scope of SnowPower, one of the projects in the I-NERGY 1st Open Call. SnowPower is a Softwar...
This file contains a synthetic dataset to create baseline behavior models for transformers temperature. The dataset is a 5 columns containing the 4 temperature and the hour, with a 5 minutes frequency.
The AI Engineering Quick Check is our format for the development of AI/ML-enabled products. The purpose is to get an overview of current or planned development activities - starting from data engineering to model management and pipeline/workflow automa...
After the assessment and evaluation of 126 submitted applications from 27 European Union and Associated Countries, the I-NERGY project has selected the 10 winning proposals to join its first 6-month long Technical Transfer Programme, started in April 2022...