The model developed called SLIDE for SateLlite Images prediction with Deep Learning is a combination of state-of-the-art AI techniques that is designed to forecast irradiance maps. It uses up to four satellite-derived irradiance maps in order to genera... read more of SLIDE - SateLlite Images prediction with Deep Learning

Reducing errors in forecasting faulty PV performance by stacking deep neural networks read more of Forecasting faulty periods in Solar Photovoltaic system

A repository with some of the models developed and trained for the AI4Hotels project. read more of AI4Hotels forecasting models

Demonstration web application for the AI4Hotels project within the I-nergy call. The demonstration webapp allows the user to visualize the data used for training the forecasting models, as well as run the electric load forecasting model and the occupancy ... read more of AI4Hotels web application (demo)

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-... read more of Short-term Electricity Consumption and Demand Prediction (AI4Demand)

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