DRC Research
Data Resonance research supports both academic graduate studies and professional research efforts.
Our research programs include various user groups, online community environments, training, and professional expert presentations. The DRC research approach represents a collaborative engineering exploration, investigation, and experimental process with a product agnostic approach that delivers insights and techniques that can be integrated into any existing platform or program.
Our research leads are represented by professional engineers & scientists, Utilities and Suppliers partners, and graduate students from the college of Electrical and Computer Engineering (ECE) at the University of Central Florida (UCF).
Research Programs
Data Resonance Research supports both academic and professional research efforts with resources, data, analysis, and funding as available. We are creating a consortium of research partners and various user groups for specific research interests to bring together a robust and interactive community environment for experimental analysis, new insights, and deep learning advancements.
Our research leads are graduate students, professional engineers, and industry recognized scientist.
Data Resonance research programs are executed with the highest standards in ethics, performed with technical proficiency and professional integrity, presenting comprehensive results with complete transparency.
RESEARCHERS
Nicole L Kurant, MSEE
EE doctoral student
UCF ECE Graduate Studies
Research: Electric Power System Analysis
RESEARCH OPPORTUNITIES
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
Registration Begins
October 2020
Data Collection Begins
November 2020
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.
PAR-DL Data
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:
- failure history
- outage history
- SCADA
- relay history
- settings
- synchro-phasor
- monitoring
- maintenance history
- factory test
- diagnostic tests
- specifications
- analytics history
- tracked metrics
- nameplate
The following PAR-UG memberships are available:
Research Participants
Annual Data Donations
Participants receive:
- PAR-UG Membership & Site Access
- Data Dictionary w/ annual updates
- Data Quality & Completeness Evaluation w/ annual updates
- Research Program – Researchers choice
- Use Cases – Researchers choice
- Annual Research Report w/ mid-year status
- Annual Use Case Report w/ mid-year status
- Access to quarterly PAR-UG meetings, results, presentations, and round table events.
Research Collaborators
Technical Collaboration
Collaborators receive:
- PAR-UG Membership & Site Access
- PAR-UG Peer Reviews
- Research and Publication Credit
- Annual Research Report w/ mid-year status
- Annual Use Case Report w/ mid-year status
- Access to quarterly PAR-UG meetings, results, presentations, and round table events.
Research Partners
Use Case Funding
Partners receive:
- PAR-UG Membership & Site Access
- Data Dictionary w/ annual updates
- Data Quality & Completeness Evaluation w/ annual updates
- Research Program – Researchers Choice
- Use Case – Partners Choice
- Annual Research Report w/ mid-year status
- Annual Use Case Report w/ mid-year status
- Access to quarterly PAR-UG meetings, results, presentations, and round table events.
Research Sponsors
Program Funding/em>
Sponsors receive:
- PAR-UG Membership & Site Access
- Quarterly Data Updates
- Data Dictionary w/ quarterly updates
- Data Quality & Completeness Evaluation w/ quarterly updates
- Research Program – Sponsors Choice
- Use Case – Sponsors Choice
- Annual Research Report w/ mid-year status
- Annual Use Case Report w/ mid-year status
- Quarterly user group meetings, results presentations, and round table events
