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DR-Advisor

Data-Driven Demand Response Recommender System




Cleantech prize

Alegheny Cleantech University Prize Winners!


DR-Advisor is the winner of the $50,000 top prize at the 2016 Alegheny Cleantech University Prize.


See the Department of Energy's announcement here.

FEATURES


    • DR BASELINE PREDICTION

      Fast time scale prediction of the baseline power consumption of the building.

    • DR STRATEGY EVALUATION

      Optimally choose the best DR strategy from a set of pre-determined strategies during a DR event.

    • DR STRATEGY SYNTHESIS

      Reccommendations of optimal control actions to be taken to meet the required DR curtailment based on building operation and weather forecasts

    App Features
    • NO ADDITIONAL SENSORS

      DR-Advisor does not require you to invest in retrofitting the building with 100s of sesnors. All we require is the building's location and historical power consumption.

    • HIGHLY INTERPRETABLE SOLUTIONS

      Our regression trees based methods are very easy to understand and highly interpretable offering a completley human centric solution.

    • INSIGHTFUL DATA ANALYTICS

      Our data-driven models provide insight about how the building is consuming power and can classify irregular building operation.

    App Features

SCREENSHOTS


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CASE STUDY


The performance of DR-Advisor was evaluated using data from a large 12 story office building. The building consists of 73 zones with a total area of 500,000 sq ft. There are 2,397 people in the building during peak occupancy.

App Screenshot
App Screenshot
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DR-Advisor will be released soon !


GET IN TOUCH

Inquiries about this product and release

Email the Team


TEAM


Meet the team behind DR-Advisor


Madhur Behl

Suneet Sharma

Madhur Behl

Francesco Smarra

Madhur Behl

Santiago Gonzalez

Collaboration


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