-
Categories
-
Pharmaceutical Intermediates
-
Active Pharmaceutical Ingredients
-
Food Additives
- Industrial Coatings
- Agrochemicals
- Dyes and Pigments
- Surfactant
- Flavors and Fragrances
- Chemical Reagents
- Catalyst and Auxiliary
- Natural Products
- Inorganic Chemistry
-
Organic Chemistry
-
Biochemical Engineering
- Analytical Chemistry
-
Cosmetic Ingredient
- Water Treatment Chemical
-
Pharmaceutical Intermediates
Promotion
ECHEMI Mall
Wholesale
Weekly Price
Exhibition
News
-
Trade Service
GE: AI+ grid will save $200 billion in costs
General Electric is working on the use of AI (artificial intelligence) technology in power grids, which is expected to save $200 billion
globally through improved efficiency.
Steven Martin, chief digital officer of GE's energy connectivity business, revealed in an interview at the Bloomberg New Energy Finance Summit in London: "We've also done a lot of work
on machine learning.
We have a lot of people working on this
.
”
According to reports, the technology can optimize power in real time, such as the inflow and outflow
of power from storage devices such as batteries and consumption points.
This is expected to significantly improve the efficiency of the grid and save consumers costs
.
Researchers are looking at how to integrate so-called machine learning into industries such as healthcare, computing, and energy
.
With the digitalization of power plants to home power systems, the industry is changing
rapidly.
GE is currently filing a series of patent applications
for the technology.
GE: AI+ grid will save $200 billion in costs
General Electric is working on the use of AI (artificial intelligence) technology in power grids, which is expected to save $200 billion
globally through improved efficiency.
Steven Martin, chief digital officer of GE's energy connectivity business, revealed in an interview at the Bloomberg New Energy Finance Summit in London: "We've also done a lot of work
on machine learning.
We have a lot of people working on this
.
”
According to reports, the technology can optimize power in real time, such as the inflow and outflow
of power from storage devices such as batteries and consumption points.
This is expected to significantly improve the efficiency of the grid and save consumers costs
.
Researchers are looking at how to integrate so-called machine learning into industries such as healthcare, computing, and energy
.
With the digitalization of power plants to home power systems, the industry is changing
rapidly.
GE is currently filing a series of patent applications
for the technology.
