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This profile was last updated on 8/17/15  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
Email: h***@***.com
Local Address: Yorktown Heights, 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

39 Total References
Web References
Hendrik Hamann is into cloud ...
www.energycentral.com, 17 Aug 2015 [cached]
Hendrik Hamann is into cloud computing -- as in real clouds, those puffy things in the sky.
Working at IBM alongside some of the computer giant's most advanced systems, Hamann and his team seek a breakthrough in cloud-cover forecasting.
...
But the technology will need to advance rapidly, Hamann said.
"As more solar power comes on line, the more accurate you have to be," because the impact of cloudy days will broaden, he said.
...
Hamann works in a field called machine learning, a subset of artificial intelligence. Called "learners," the computers learn, on their own, how to predict cloud-cover patterns. IBM claims that the machine learners' predictions already are 30% more accurate than National Weather Service forecasts. That's impressive, but not enough to make a big difference in the real world, where other companies claim to be just as accurate with their own technologies. But Hamann is shooting for more than 50%, when the technology could start to be a game-changer.
"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 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.
Hendrik Hamann is into cloud ...
www.latimes.com, 16 Aug 2015 [cached]
Hendrik Hamann is into cloud computing - as in real clouds, those puffy things in the sky.
Working at IBM alongside some of the computer giant's most advanced systems, Hamann and his team seek a breakthrough in cloud-cover forecasting.
...
But the technology will need to advance rapidly, Hamann said.
"As more solar power comes on line, the more accurate you have to be," because the impact of cloudy days will broaden, he said.
...
Hamann works in a field called machine learning, a subset of artificial intelligence. Called "learners," the computers learn, on their own, how to predict cloud-cover patterns. IBM claims that the machine learners' predictions already are 30% more accurate than National Weather Service forecasts. That's impressive, but not enough to make a big difference in the real world, where other companies claim to be just as accurate with their own technologies. But Hamann is shooting for more than 50%, when the technology could start to be a game-changer.
It learns from solar plants [and] ...
www.computerworld.com [cached]
It learns from solar plants [and] weather stations, and constantly adjusts and improves the forecast," said Hendrik Hamann, Research Manager at the IBM T.J. Watson Research Center.
...
"The more data you put in, the smarter it gets," said Hamann.
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