Power Analytics Research Data Lake (PAR-DL)
A power utility engineering research data lake that supports static, slow, and near-real time power data contributions. The PAR-DL data will have the data owner, operating company, asset & serial numbers, and geographic location information masked and coded.
The data owner is provided a data key that identifies their unique data within the collective analysis, and each is provided the option to reveal their identifying information to:
- A) Private – default: No identifiable information disclosed
- B) User Group Sharing: Identifiable information available within the secure user group site
- C) Public: Identifiable information used in all materials, reports, and publications available to the public
All PAR-DL data will be managed under a PAR NDA agreement executed with each member.
The data will be used for academic purposes: graduate projects, research, and algorithm development. All findings will be documented, submitted for peer review, and published as applicable. All PAR-UG members will have right to use the resulting intelligence per each research year they maintained their membership.
Power Analytics Research User Group (PAR-UG)
A power engineering user group focusing on advanced power system analysis, leveraging traditional metrics, engineering rules, advanced analytics, machine learning (ML), and Artificial Intelligence (AI).
All utilities, municipalities, providers, and suppliers of power generation, transmission, or distribution systems are invited to participate in the PAR user group. PAR user group members are asked to contribute data to the Power Analytics Data Lake, participate in technical collaborations, or formal research funding on an annual cycle.
PAR-UG Kick-Off Year
January 2021 – December 2021
Data Collection Begins
PAR-UG Community website
A secure, restricted web site providing access to the PAR-DL, secure FTP, research material & results, videos & training modules, community user boards, blogs, and networking features.
We will be accepting power system data for generation, transmission, and distribution systems with a focus on the following areas of research.
Those interested in additional areas of research are invited to contact us about supporting those efforts.
Current Research Topics
Grid Health, Monitoring, and Optimization Analytics
We are accepting the following utility asset data: static, slow and near real time frequency of the following types: