Artificial intelligence tools secure tomorrow’s electric grid
Filter News
Area of Research
- (-) National Security (12)
- Advanced Manufacturing (10)
- Biological Systems (6)
- Biology and Environment (17)
- Biology and Soft Matter (4)
- Building Technologies (5)
- Chemical and Engineering Materials (4)
- Chemistry and Physics at Interfaces (11)
- Clean Energy (129)
- Climate and Environmental Systems (6)
- Computational Biology (1)
- Computational Chemistry (5)
- Computational Engineering (1)
- Computer Science (3)
- Earth Sciences (1)
- Energy Frontier Research Centers (13)
- Energy Sciences (1)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (14)
- Fusion and Fission (5)
- Fusion Energy (6)
- Geographic Information Science and Technology (3)
- Isotope Development and Production (1)
- Isotopes (4)
- Materials (120)
- Materials for Computing (12)
- Materials Synthesis from Atoms to Systems (13)
- Materials Under Extremes (11)
- Neutron Data Analysis and Visualization (4)
- Neutron Science (43)
- Nuclear Science and Technology (33)
- Nuclear Systems Modeling, Simulation and Validation (2)
- Nuclear Systems Technology (1)
- Quantum Condensed Matter (4)
- Quantum information Science (3)
- Reactor Technology (1)
- Renewable Energy (1)
- Sensors and Controls (1)
- Supercomputing (73)
- Transportation Systems (5)
News Topics
- Artificial Intelligence (1)
- Big Data (2)
- Climate Change (1)
- Computer Science (5)
- Coronavirus (1)
- Cybersecurity (3)
- Energy Storage (1)
- Environment (1)
- Grid (1)
- Machine Learning (1)
- Materials Science (3)
- Nanotechnology (1)
- National Security (2)
- Neutron Science (2)
- Nuclear Energy (1)
- Security (3)
- Summit (1)
- Sustainable Energy (1)
Media Contacts
A typhoon strikes an island in the Pacific Ocean, downing power lines and cell towers. An earthquake hits a remote mountainous region, destroying structures and leaving no communication infrastructure behind.
To better determine the potential energy cost savings among connected homes, researchers at Oak Ridge National Laboratory developed a computer simulation to more accurately compare energy use on similar weather days.