Sap Se

Mario Ponce

Sivakumar N

Tu Truong

Jaehun Jeong

Nethaji Tummuru

Manikanta Pachineelam

Ninad Kulkarni

Sangeetha Krishnamoorthy

Jun Meng

Wafaa Sabil

Nalini Chandhi

Xuening Wu

Chao Zhou

Rahul Kabra

Sakshi Chopra

Rui Jin

Zhenhua Luo

Systems and methods are provided for determining a weather forecast corresponding to a location of an air handling unit for a building, generating a foot traffic forecast for a specified time period in the building, and generating a predicted energy consumption curve based on the weather forecast and generated foot traffic forecast for the specified time period. Based on the predicted energy consumption curve, the systems and methods further provide for generating settings for controllable energy devices of the air handling unit to control the air handling unit for the specified time period.

Predictive air handling system

Systems, methods, and apparatuses for activity pattern detection are described herein. Embodiments may process large amounts of data from a plurality of different database sources in order to detect events common to the data of the different database sources. Embodiments further perform data mining operations to detect patterns (e.g., two or more events appearing consecutively or non-consecutively), and present these patterns in a graphical user interface (GUI) to illustrate how a plurality of patterns may comprise a business scenario.

Systems, methods, and apparatuses for detecting activity patterns

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Santa Clara, CA, United States of America

Mario Ponce