Energy

AI is expected to dramatically reshape the energy sector. This section provides references on on-going projects and existing results in that area.

@ Energy Cities - https://energy-cities.eu/

AI ethics AI services Machine learning Optimisation Philosophy of AI Cloud, Edge and Infrastructure Energy Manufacturing Company

MIPU Energy Data srl

AI ethics AI services Audio processing Automated reasoning Commonsense reasoning Computer vision Connected and automated vehicles Constraints and satisfiability Knowledge Representation Machine learning Multi-agent systems Natural language processing Optimisation Philosophy of AI Planning and scheduling Robotics and automation Searching Agriculture Cloud, Edge and Infrastructure Cultural Heritage Earth Observation Energy Healthcare Manufacturing Public Services Regional Engagement - DIHs Telecommunications Transportation Research Institution

University of Luxembourg

Agriculture Cloud, Edge and Infrastructure Cultural Heritage Earth Observation Energy Healthcare Manufacturing Maritime Sector Public Services Regional Engagement - DIHs Telecommunications Transportation

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...

Energy Small and medium enterprises (SMEs) Startup

I-NERGY 1st Open Call - Meet the winners

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...

TNO - Netherlands Organisation for Applied Scientific Research

AI services Computer vision Connected and automated vehicles Machine learning Multi-agent systems Optimisation Planning and scheduling Robotics and automation Agriculture Cloud, Edge and Infrastructure Cultural Heritage Energy Manufacturing Maritime Sector Regional Engagement - DIHs Transportation Research Institution

DIH Saxony-Anhalt

ACS; RWTH

ML Model

Performance of Inverter System

Forecast the Performance of Inverter Systems with multivariate inputs

Tutorial

NiFi Dataflow templates and scripts

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.

Dataset