PEMS and AI for emissions monitoring
A predictive emissions monitoring system estimates stack emissions from process data a facility already records, with no analyzer on the stack. These articles cover building PEMS with machine learning and AI assistants, and the research behind them.
Read in this order
PEMS & AIBuild a PEMS with Claude or Copilot — no code, no cost
Building a PEMS used to mean hiring someone who could write the model. We built one on real plant data using Claude, and recorded every step. Four short videos show the workflow: preparing the data, describing the objective in plain English, and checking the results against the training scores.
· 4 min read · 4 videos
PEMS & AIWhy "Glass Box" AI is the Future of Emissions Compliance: Beyond the Neural Network Hype
Peer-reviewed research shows how explainable, tree-based machine learning models like XGBoost can deliver regulatory-ready NOₓ predictions without black-box complexity.
· 3 min read
PEMS & AICan Open-Source Deep Learning Models Replace Expensive Stack Analyzers? This Study Says Yes.
A study led by Minxing Si of KeeWee Solutions Inc. demonstrates how facility operators can achieve stringent regulatory precision requirements for NOx monitoring using standard process data and free machine learning libraries.
· 3 min read