This inventor holds 3 USPTO granted patents and 1 published patent application. Top assignee: Arizona State University. Active years: 2016-2020.
Company Filing History:
Years Active: 2016-2020
Title: Innovations by Vijay Vittal in Wind Farm Generation Forecasting
Introduction
Vijay Vittal is a prominent inventor based in Scottsdale, AZ (US), known for his contributions to the field of power generation forecasting, particularly in wind energy. With a total of 3 patents, he has developed innovative systems and methods that enhance the efficiency and accuracy of forecasting power generation in wind farms.
Latest Patents
One of his latest patents is titled "Induced Markov chain for wind farm generation forecasting." This invention discloses systems and methods that utilize an induced Markov chain model to generate forecasts of power generation in wind farms. The forecasts can be either point forecasts or distributional forecasts. The systems also modify electricity generation at power plants or the distribution of electricity in the common power grid based on the forecasted power generation. This approach includes determining a series of time-adjacent power output measurements based on historical wind power data and calculating a time series of difference values.
Another significant patent is "Support vector machine enhanced models for short-term wind farm generation forecasting." This invention employs a support vector machine (SVM) enhanced Markov model to generate short-term wind power generation forecasts. The methods accurately account for wind ramp-up and ramp-down, as well as diurnal non-stationarity and seasonality of wind power generation. By utilizing these forecasting approaches, utilities and grid managers can make better decisions regarding electrical power generation and transmission, ultimately reducing costs and pollution.
Career Highlights
Vijay Vittal is affiliated with Arizona State University, where he continues to contribute to research and innovation in the field of electrical engineering and renewable energy. His work has significantly impacted the way wind energy is forecasted and managed, making strides toward more sustainable energy solutions.
Collaborations
Vijay has collaborated with notable colleagues such as Junshan Zhang and Miao He, further enhancing the research and development of innovative forecasting methods in wind energy.
Conclusion
Vijay Vittal's innovative patents and contributions to wind farm generation forecasting demonstrate his commitment to advancing renewable energy technologies. His work not only improves forecasting accuracy but also supports the broader goal of sustainable energy management.