Results for: Data Science
Pandas vs Polars
Efficiently Importing and Processing Large Datasets in Python with Pandas and Polars
Fuel Allocation
This article introduces key concepts in fuel allocation and estimation methods, with a focus on identifying and correcting notable errors found in Alberta’s Quantification Methodologies (AQM) version 2.3. Several inaccuracies related to fuel proration are addressed, and improved, accurate methodologies are proposed to support better emissions reporting and compliance.
OpenPEMS
Since publishing my work on Predictive Emission Monitoring Systems (PEMS) in the IEEE journal in 2019, several companies have adopted the approach outlined in that paper, with some even attempting to commercialize it. However, as clearly stated in the publication, the goal of the research was to develop a free and open-source PEMS solution to support industry in real-time emissions monitoring.
Verification Focused
EmissionX is the designed with a focus on verification and assurance of GHG emissions data