Publications (4)
An application of reinforcement learning to residential energy storage under real-time pricing
Eli Brock, Lauren Bruckstein, Patrick Connor +3
With the proliferation of advanced metering infrastructure (AMI), more real-time data is available to electric utilities and consumers. Such high volumes of data facilitate innovat…
Refining fast simulation using machine learning
Samuel Bein, Patrick Connor, Kevin Pedro +2
At the CMS experiment, a growing reliance on the fast Monte Carlo application (FastSim) will accompany the high luminosity and detector granularity expected in Phase 2. The FastSim…
A Concept Specification and Abstraction-based Semantic Representation: Addressing the Barriers to Rule-based Machine Translation
Patrick Connor
Rule-based machine translation is more data efficient than the big data-based machine translation approaches, making it appropriate for languages with low bilingual corpus resource…
Hand and Body Blockage Measurements with Form-Factor User Equipment at 28 GHz
Vasanthan Raghavan, Sonsay Noimanivone, Sung Kil Rho +8
Blockage by the human hand/body is an important impairment in realizing practical millimeter wave wireless systems. Prior works on blockage modeling are either based on theoretical…