Aggregated load time series of the Portuguese TSO (Transmission System Operator) for 2018 and 2019 (15 minute resolution) accompanied by encoded (in a cyclical manner) time covariates. Useful for TSO demand forecasting experimentation. read more of Portuguese Transmission System Aggregated Load Time Series and Encoded Time Covariates

An  MLflow Docker deployment accompanied by a Postgresql database for storing logged metrics and a MinIO storage for storing artifacts. read more of MLflow Server Docker Deployment

A Kmeans clustering model for prosumer's electricity load categorization meant for demand response applications. read more of Prosumer Electricity Load Clustering Model for Demand Response Applications

Α seasonal ARIMA load forecasting model for boiler rooms in district heating networks (AIExperiments Asset). read more of SARIMA load forecasting model

Dataset contains radiation data measured by FAEN (Fundación Asturiana de la Energía) in a series of locations and during a period from 2008 to 2018. read more of Aggregated data of Radiation measured in Asturias

A forecasting service for predicting the aggregated hourly net electrical load of the Portuguese transmission system operator (REN). The service makes use of an LSTM network.(AIExperiments Asset) read more of Short-term load forecasting model for TSOs (LSTM)

A databroker service used for loading timeseries to forecasting machine learning models read more of Load Forecasting Databroker

A forecasting service for predicting of the Portuguese aggregated electricity load time series (15-min resolution, 24hr forecasting horizon). The service makes use of the LightGBM algorithm. (AIExperiments asset) read more of Short-term load forecasting model for TSOs (LightGBM)

A set of NiFi templates in XML format together with python scripts that serve as a starting point for creating your own DataFlow pipeline to collect data for ML/DL Models training and testing. read more of NiFi Dataflow templates and scripts

Forecast the Performance of Inverter Systems with multivariate inputs read more of Performance of Inverter System

The problem of finding faults in oscillating data in the form of 3-phase current and voltage values is considered. While these kind of data have high resolutions, we give a solution to multivariate changing point detection, framed as an anomaly detection... read more of Finding Faults in 3-phase electrical lines using lossless reconstruction

Snow Water Equivalent (SWE) estimation at coarse resolution (Alpine watersheds of France, Switzerland, Italy and Austria). read more of Snow Water Equivalent (SWE) estimation

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... read more of Description and setup of ML models for the estimation of Snow Water Equivalent (SWE) and runoff in Alpine watersheds

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. read more of Snow Water Equivalent (SWE) indicator estimates for Alpine watersheds