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This profile was last updated on 2/20/14  and contains information from public web pages and contributions from the ZoomInfo community.

Dr. Hendrik F. Hamann

Wrong Dr. Hendrik F. Hamann?

Research Staff Member, Manager

IBM Watson Research Center
Phone: (914) ***-****  HQ Phone
Local Address: New York City, New York, United States
IBM Corporation
1 New Orchard Road
Armonk, New York 10504
United States

Company Description: International Business Machines Corporation (IBM), is an information technology (IT) company. s major operations include Global Technology Services segment (GTS),...   more
Background

Employment History

31 Total References
Web References
IBM Researcher Hendrik ...
www.ctnow.com, 21 Jan 2014 [cached]
IBM Researcher Hendrik Hamann talks about forecasting conditions for solar power generation.
...
"Solar is without a doubt the hardest to predict," said Hendrik F. Hamann, project lead for IBM's Watt Sun program, one of two funded by the U.S. Department of Energy to develop accurate forecasting systems for the energy industry.
The main issue is that solar panels turn on and off with little advanced notice, and require other power plants to increase or decrease output in response. In a few years, when it is estimated that solar will make up a larger slice of New England's electric grid, the momentary shifts in power output will require immediate responses from power plants to maintain balance in the electric grid.
Hamann described the need for forecasting through this metaphor: If you need to write an email, but your computer is off, you will have to wait a few minutes for it to start up.
...
Hamann, 46, standing in front of a grid of four flat-screen computer displays, selected a small array in Rutland, Vt.
...
The volume of data and specificity of modeling need to accurately predict where, when and how long the sun will shine on solar panels throughout the country make the Watt Sun application a "perfect big data problem," Hamann said.
"Solar is without a doubt the ...
newyork.construction.com, 21 Jan 2014 [cached]
"Solar is without a doubt the hardest to predict," said Hendrik F. Hamann, project lead for IBM's Watt Sun program, one of two funded by the U.S. Department of Energy to develop accurate forecasting systems for the energy industry.
The main issue is that solar panels turn on and off with little advanced notice, and require other power plants to increase or decrease output in response. In a few years, when it is estimated that solar will make up a larger slice of New England's electric grid, the momentary shifts in power output will require immediate responses from power plants to maintain balance in the electric grid.
Hamann described the need for forecasting through this metaphor: If you need to write an email, but your computer is off, you will have to wait a few minutes for it to start up.
...
Hamann, 46, standing in front of a grid of four flat-screen computer displays, selected a small array in Rutland, Vt.
...
The volume of data and specificity of modeling need to accurately predict where, when and how long the sun will shine on solar panels throughout the country make the Watt Sun application a "perfect big data problem," Hamann said.
IBM and The Metropolitan Museum of Art Collaborate to Preserve Works of Art
www.ScientificComputing.com, 31 Dec 2011 [cached]
"This project is a prime example of IBM's physical analytics capabilities that can help predict and forecast change, and we're pleased we can collaborate with the Metropolitan Museum to preserve treasured artifacts for generations to come," said Hendrik Hamann, research manager, IBM Research.
CNSM 2011: International Conference on Network and Service Management
www.simpleweb.org, 25 Oct 2011 [cached]
Hendrik Hamann, IBM T.J. Watson Research Center, USA
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