Company Filing History:
Years Active: 2019
Title: Innovations of Sen-Hao Lai in Electric Power Grid Prediction
Introduction
Sen-Hao Lai is an accomplished inventor based in Cary, NC (US). He has made significant contributions to the field of electric power grid supply and load prediction. His innovative approach utilizes cleansed time series data to enhance the accuracy of predictions in power provision and consumption.
Latest Patents
Sen-Hao Lai holds a patent for an apparatus designed to predict electric power grid supply and load. The patent, titled "Electric power grid supply and load prediction using cleansed time series data," outlines a method where a processor assigns values from initial supply and load meter data to multiple buckets based on weather conditions and time. The apparatus generates upper and lower bounds for power values, identifies outliers, and creates a naive model from non-outlier values. This process results in cleansed supply and load meter data, which are merged for predictive analysis.
Career Highlights
Sen-Hao Lai is currently employed at SAS Institute Inc., a leading analytics software company. His work focuses on developing advanced predictive models that leverage data cleansing techniques to improve the reliability of power grid forecasts. His innovative contributions have positioned him as a key figure in the field of energy analytics.
Collaborations
Sen-Hao Lai collaborates with notable colleagues, including Mark Joseph Konya and Bradley Lawson, Jr. Together, they work on projects that aim to enhance the efficiency and accuracy of predictive models in the energy sector.
Conclusion
Sen-Hao Lai's innovative work in electric power grid prediction demonstrates the importance of data cleansing in enhancing predictive accuracy. His contributions are paving the way for more reliable energy management solutions.