Contributors: Peter Olson
Name: Peter Olson
Login: peterbolson
Email: [email protected]
OST Projects: 26
Languages: Python, Dockerfile
Categories: Consumption, Energy Systems
Sub Categories: Building Energy Monitoring, Energy Monitoring and Management, Production and Industry
Topics: building-energy, efficiency, energy-data, energy-efficiency, dataframe, datascience, distributed, modin
Contributed Projects
eemeter
An open source Python package for implementing and developing standard methods for calculating normalized metered energy consumption and avoided energy use.
building-energy efficiency energy energy-data energy-efficiency
Energy Systems - Building Energy Monitoring - Last synced: 28 Apr 2025 - Ranking: 19.5
CalTRACK
Methods are developed in an open and transparent stakeholder process that uses empirical testing to define replicable methods for calculating normalized metered energy consumption using either monthly or interval data from an existing conditions baseline.
Consumption - Production and Industry - Last synced: 28 Apr 2025 - Ranking: 7.2