R&D Collaboration

Project outline

Objectives

to solve various issues of members by using AI. Participating members will develop programs applying AI with machine learning.

Three major stages
  • Stage 1: Define the AI use-cases
  • Stage 2: Develop the solutions
  • Stage 3: Share the results
Participants

are required to present their experience, challenges and know-how

are required to identify themselves as

  • Data provider
  • Application developer
Working together
  • Teams are formed by a Data provider and an Application developer.
  • Teams develop solution programs applying AI with machine learning.
Results

Final results shall be presented to all IERE members. However, details of the projects will only be shared among the participating companies.

Leaders

CLPRI, Hong Kong SAR and E.ON, Germany

2nd Participating members

Eight Members joined the IERE AI Collaboration

EPRI Eon ChubuEPCO ChugokuEPCO CRIEPI NARI CLPRI KarachiElectric

Leaders
Leader: E.on co-Leader: CLPRI
Data Providers
Chugoku EPCO EPRI Karachi Electric
Application Developers
Chugoku EPCO CLPRI CRIEPI NARI

Four Use Cases Tackled

Object detection of pole mounted switches
T&D Image Object Detection Use cases
Predictive maintenance and health monitoring of underground cable
Load forecasting of feeder

Project timeline

This AI collaboration project (2nd round) shared the results with all IERE members on the members-only webinar after the results-report meeting among the participating members.

Milestones

IERE 2nd Artificial Intelligence (AI) Collaboration
July 2022
Kick-off meeting
(Reference) IERE Artificial Intelligence (AI) Collaboration
Mar. 2022
5th IERE webinar on AI
Nov. 2021
Debriefing Meeting among Participated Members
Aug. 2021
AI Application Development Completed
Apr. 2020
AI Collaboration Kick off meeting
Feb. 2020
Invitation of AI Collaboration to all IERE members
(Reference) IERE Technology Foresight