Energy
AI is expected to dramatically reshape the energy sector. This section provides references on on-going projects and existing results in that area.
ADIOS - I-NERGY Apply Model
The docker contains the scripts to apply the trained model, trained saved in the resource folder.
ADIOS - I-NERGY Training Model
The docker contains the execution script to train the models on a dataset with extended labels
Github link to API Gateway to transformer model AI
Link to a Git repository that includes the syntethic Data set and a Docker container that implements an API Gateway based on python Tornado framework, that implement the AI algorithm based on syntethic data, and the method useful to train and predict da...
ADIOS - I-NERGY- Label Extend
This container provide the services for label extension on a tagged dataset using a voting algorithm.
ADIOS - I-NERGY Open Dataset
This asset is the open dataset used for the experiment and for develop the proof of concept. It is an open dataset of SCADA data for Energy Management Systems.
Super-resolution applied to power line inspection: Script
In the project Super-power (I-NERGY Open Call I), FuVeX has developed Super-resolution algorithms to enhance the quality of the photos to inspect power lines. The execution of the algorithm is concentrated on the following line, which corresponds to t...
Super-resolution Services for power line drone inspections
Generating good quality data in power line inspection to enable the use of AI technologies to automate the power line inspection process using drones Power lines require regular inspections to guarantee their structural health. This process has been co...
Electricity consumption and weather indicators datasets
The asset presents a datasets related to the hourly and daily electricity consumption of buildings located in Helsinki and weather-related indicators from the nearest meteorological station
Short-term Electricity Consumption and Demand Prediction (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-...
Super-resolution applied to high-voltage power lines
The project SuperPower developed thanks to I-NERGY first open call has developed super-resolution algorithms to double the pixels in an image using Convolutional Neural Networks. These datasets consist of two subsets of original photos of high-voltage pow...