Artificial intelligence tools secure tomorrow’s electric grid
Filter News
Area of Research
- (-) Fusion and Fission (4)
- (-) Materials (34)
- (-) National Security (6)
- Advanced Manufacturing (1)
- Biology and Environment (16)
- Clean Energy (40)
- Climate and Environmental Systems (2)
- Computer Science (2)
- Energy Sciences (1)
- Fusion Energy (3)
- Isotopes (3)
- Materials for Computing (5)
- Neutron Science (25)
- Nuclear Science and Technology (21)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (2)
- Supercomputing (23)
News Topics
- (-) Biomedical (1)
- (-) Chemical Sciences (2)
- (-) Energy Storage (9)
- (-) Environment (4)
- (-) Exascale Computing (1)
- (-) Materials (1)
- (-) Microscopy (5)
- (-) Nanotechnology (12)
- (-) Neutron Science (10)
- (-) Nuclear Energy (8)
- 3-D Printing/Advanced Manufacturing (5)
- Advanced Reactors (3)
- Artificial Intelligence (3)
- Big Data (3)
- Bioenergy (3)
- Climate Change (1)
- Computer Science (11)
- Coronavirus (2)
- Critical Materials (2)
- Cybersecurity (3)
- Fusion (3)
- Grid (1)
- Isotopes (1)
- Machine Learning (3)
- Materials Science (30)
- Mathematics (1)
- Molten Salt (1)
- National Security (2)
- Physics (8)
- Polymers (4)
- Quantum Science (4)
- Security (3)
- Summit (3)
- Sustainable Energy (6)
- Transformational Challenge Reactor (2)
- Transportation (3)
Media Contacts
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.