  To encourage and guide decarbonization efforts, better tools are needed to
monitor the emissions embodied in electricity consumption, production, imports,
and exports. Using electric system operating data of varying quality is
especially challenging for applications that require these data to be
physically consistent, where time-intensive, manual data verification is often
needed. In this work, we introduce a physics-informed data reconciliation
framework to greatly accelerate this process and make internally consistent
electric system operating data available in near real-time. A key component of
this framework is an optimization program to minimize the data adjustments
required to satisfy energy conservation equations. The framework is applied to
an example data set for the sixty-eight balancing authorities in the
continental United States electricity system; emissions for electricity
consumption, production and exchanges are also computed. The resulting data set
on electricity and emissions is made publicly available and updated hourly.
