Contributions from researchers across Pacific Northwest National Laboratory (PNNL) were recently recognized in the preliminary findings of a Secretary of Energy Advisory Board (SEAB) report.

Four researchers from PNNL were recently honored for contributing to two U.S. Department of Energy Office of Energy Efficiency and Renewable Energy initiatives that support the blue economy and building-grid integration.

PNNL employs deep learning strategies to advance Model Predictive Control (MPC), a highly promising solution for intelligent building operations.

First-of-its-kind network analysis on a supercomputer can speed real-time applications for cybersecurity, transportation, and infectious disease tracking

PNNL’s Srinivas Katipamula and Nora Wang have received a Northwest Energy Efficiency Alliance award for contributing to the success of Seattle’s Building Tune-Up Accelerator Program.

At a conference featuring the most advanced computing hardware and software, ML in its various guises was on full display and highlighted by Nathan Baker’s featured invited presentation.

PNNL’s Intelligent Load Control technology manages and adjusts electricity use in buildings when there’s peak demand on the power grid.

A PNNL technology enables automated Economic Dispatch, which coordinates the use of energy in a manner that enhances distributed generation, efficiency, renewables, and grid reliability.

PNNL researchers Jianming Lian, Karanjit Kalsi, joint appointee Wei Zhang, and former PNNL intern Sen Li recently received a patent for a market mechanism consisting of novel bidding and clearing strategies.

A PNNL researcher peers into the future and sees homes and neighborhoods seamlessly working together to coordinate energy use.

Many of us are looking forward to next month's Apple Cup as the Cougars and Huskies battle for regional pigskin pride. At PNNL, however, we strive to bring these gridiron competitors together to collaborate on research and development.