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ENERGY, DEPARTMENT OF has floated a tender for Licensing Opportunity: Autonomous Anomaly Detection of Model Forecasts of Controllable Devices in Residential Communities. The project location is USA and the tender is closing on 26 Oct 2024. The tender notice number is 2024-09-11-P, while the TOT Ref Number is 107152047. Bidders can have further information about the Tender and can request the complete Tender document by Registering on the site.
Procurement Summary
Country : USA
Summary : Licensing Opportunity: Autonomous Anomaly Detection of Model Forecasts of Controllable Devices in Residential Communities
Deadline : 26 Oct 2024
Other Information
Notice Type : Tender
TOT Ref.No.: 107152047
Document Ref. No. : 2024-09-11-P
Competition : ICB
Financier : Self Financed
Purchaser Ownership : Public
Tender Value : Refer Document
Purchaser's Detail
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Description
Invention Reference Number: 202405628
Water heaters and heating, ventilation, and air conditioning (HVAC) systems collectively consume about 58% of home energy use. Managing these systems is crucial for managing peak demand, carbon emission, energy consumption, electricity price and integrating distributed renewables into older grid systems. However, model forecasts lack anomaly detection systems which are essential for efficient use of devices as they can allow to study the behavior of the model, improve forecasting load accuracy, and implement error correction schemes. This technology is an autonomous system that can perform data curation, data cleaning, conduct error analysis, and detect anomalies of model forecasts of HVAC and water heater systems.
Description
This technology is software based on machine learning that autonomously identifies anomalies in HVAC and water heater systems in homes and commercial buildings. It is time-consuming and intensive to detect these anomalies manually as a residential neighborhood often contains several homes. The complexity further increases with the increasing time period of analysis. This is an autonomous system that can perform data curation, data cleaning, conduct error analysis, and detect anomalies of model forecasts of HVAC and water heater systems, and can classify anomalies for subgroups such as different floors, fan use, corner units, basement and water usage profiles.
Benefits
Only method to automatically detect anomalies in predictive control and correct them without human intervention Saves time and money More efficient Can run on laptop or cloud Increases occupant comfort Can detect anomalies in power gridApplications and Industries
Electric utilities HVAC/Plumbing ConstructionContact
To learn more about this technology, email partnerships@ornl.gov or call 865-574-1051.
Active Contract Opportunity
Notice ID : 2024-09-11-P
Related Notice
Department/Ind. Agency : ENERGY, DEPARTMENT OF
Sub-tier : ENERGY, DEPARTMENT OF
Office: ORNL UT-BATTELLE LLC-DOE CONTRACTOR
General Information
Contract Opportunity Type: Special Notice (Original)
All Dates/Times are: (UTC-04:00) EASTERN STANDARD TIME, NEW YORK, USA
Original Published Date: Sep 11, 2024 10:40 am EDT
Original Response Date: Oct 26, 2024 05:00 pm EDT
Inactive Policy: Manual
Original Inactive Date: Oct 27, 2024
Initiative:
Classification
Original Set Aside:
Product Service Code:
NAICS Code:
Place of Performance: Oak Ridge, TN 37830 USA
Documents
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