Neurio Technology Inc.

Serve Operating Co.

Generac Power Systems, Inc.

Zhenyu Guo

Ali Haghighat-Kashani

Jonathan Mark Hallam

Sean Tracey Plaice

Bastian Jan Michael Lehmann

Janice Tze-Nee Cheam

Kaiwen Yuan

Ali Haghighat Kashani

Ali Haghighat-Kishani

Techniques described in this application are directed to determining safe path navigation of an unmanned vehicle, including a sidewalk robot, using LIDAR sensors and/or other data.

Safe traversable area estimation in unstructured free-space using deep convolutional neural network

A method for modeling power usage within a macrogrid uses data relating to the behavioral patterns and states ('BA') of the users, data relating to external impacts on power usage and disaggregated power consumption data in at least one premises within the macrogrid (forming 'power usage model data') and thereafter a method of forecasting and predicting future power requirements within the macrogrid uses such power usage model data.

Method and system for forecasting power requirements using granular metrics

Power consumption related data for the power source supplying an entire household or other group of appliances is captured at a relatively high data rate. The raw data is analyzed to remove redundancy and to identify pertinent features, and then the more informative of these features are then selected. The analysis and selection of features are pre-processing tasks that are performed on-site, on the same piece of hardware that acquires the raw data and transmits the pre-processed data to the server. By transmitting selective data to a remote server, only a low bandwidth is required for the transmission.

On-board feature extraction and selection from high frequency electricity consumption data

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Vancouver, Canada

Zhenyu Guo