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Vijay S Vittal

from Phoenix, AZ
Age ~68
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Also known as:
Vinayak Vittal, Vijay Vitta
Related to:
Eknath Vittal, 42Sunanda Vittal, 67
Connected to:
Anup Vittal, 58Bharathkumar Vittal, 42Mansanipalli Vittal, 72Pallavi Vittal, 49Patel Vittal, 37Prasad Vittal, 53Radhika Vittal, 49Ralph J Vittali, 34George P Vittas, 73Susan Vitte, 62

Vijay Vittal Phones & Addresses

  • Phoenix, AZ
  • Irvine, CA
  • 5418 Hartford Ave, Scottsdale, AZ 85254 (602) 482-2247
  • 1155 Oklahoma Dr, Ames, IA 50014 (515) 292-1125
  • Reston, VA
  • Maricopa, AZ
  • 5418 E Hartford Ave, Scottsdale, AZ 85254 (602) 292-1125

Work

Position: Professional/Technical

Resumes

Resumes

Vijay Vittal Photo 1

Regents' Professor

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Location:
522 north Central Ave, Phoenix, AZ 85001
Industry:
Electrical/Electronic Manufacturing
Work:
Arizona State University
Regents' Professor
Tsinghua University
Guest Professor
Illinois Institute of Technology Nov 2017 - Dec 2017
D.j Gandhi Visiting Distinguished Professor
Indian Institute of Science Sep 2017 - Nov 2017
Cpri Visiting Professor
Indian Institute of Technology, Delhi Aug 2017 - Sep 2017
Visiting Professor
Education:
Iowa State University 1979 - 1982
Doctorates, Doctor of Philosophy, Electrical Engineering Indian Institute of Technology, Kanpur 1977 - 1979
Masters, Master of Technology, Electrical Engineering B. M. S. College of Engineering 1972 - 1977
Bachelor of Engineering, Bachelors, Electrical Engineering M.e.a. Higher Secondary School, Lodhi Estate, New Delhi 1967 - 1972
St. Francis Xavier High School, Carnac Road, Mumbai 1963 - 1967
Skills:
Power Systems
Electrical Engineering
Simulations
Matlab
Energy
Smart Grid
Simulink
Electric Power
Mathematical Modeling
Power Electronics
Algorithms
Renewable Energy
Signal Processing
Labview
Pspice
Latex
Sensors
Interests:
Power System Operation and Control
Vijay Vittal Photo 2

Vijay Vittal

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Business Records

Name / Title
Company / Classification
Phones & Addresses
Vijay Vittal
Owner
Vittal, Vijay
Engineering Services
5418 E Hartford Ave, Scottsdale, AZ 85254

Publications

Isbn (Books And Publications)

Power Systems Analysis

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Author

Vijay Vittal

ISBN #

0136919901

Us Patents

Support Vector Machine Enhanced Models For Short-Term Wind Farm Generation Forecasting

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US Patent:
20150154504, Jun 4, 2015
Filed:
Dec 16, 2014
Appl. No.:
14/572385
Inventors:
Junshan Zhang - Chandler AZ, US
Miao He - Tempe AZ, US
Lei Yang - Tempe AZ, US
Vijay Vittal - Scottsdale AZ, US
Assignee:
Arizona Board of Regents on behalf of Arizona State University - Scottsdale AZ
International Classification:
G06N 7/00
F03D 7/04
Abstract:
Systems and methods for forecasting wind farm power generation are disclosed. Via use of a support vector machine (SVM) enhanced Markov model, short-term wind power generation forecasts may be generated. Exemplary approaches accurately account for wind ramp-up and ramp-down, as well as diurnal non-stationarity and seasonality of wind power generation. Via use of the disclosed forecasting approaches, utilities and grid managers can make improved decisions relating to electrical power generation and transmission, thus reducing costs and reducing pollution.

System And Method For Wind Generation Forecasting

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US Patent:
20140172329, Jun 19, 2014
Filed:
Dec 17, 2013
Appl. No.:
14/109586
Inventors:
Junshan Zhang - Chandler AZ, US
Miao He - Tempe AZ, US
Lei Yang - Tempe AZ, US
Vijay Vittal - Scottsdale AZ, US
International Classification:
G01R 19/25
US Classification:
702 60
Abstract:
Systems and methods for managing electricity of an electrical supply grid electrically connected to a wind farm are disclosed. Some systems and methods may include identifying relationships among a plurality of turbines in the wind farm with a minimum spanning tree, calculating a power output relationship among the plurality of turbines with the minimum spanning tree, creating a finite state space Markov chain forecast model for the plurality of turbines in the wind farm, predicting a power output of the wind farm with the finite state space Markov chain forecast model, and modifying at least one of a generation of electricity and a distribution of electricity based on the predicted power output of the wind farm. Also disclosed are systems and methods for predicting the power output of a wind farm.
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Vijay S Vittal from Phoenix, AZ, age ~68 Get Report