Measurement uncertainty: some words on error theory
Data Analysis
None like it hot
Detect hot spots with infrared imagery
Data Analysis Ninth Step: Results are only real when shared
Part 10: Data Analysis ninth step: reporting
Data Analysis eight step: Service, delivered!
Part 9: Data Analysis eighth step: deployment
Data Analysis seventh step: Aim for the extra mile, it’s never crowded!
Part 8: Data Analysis seventh step: fine tuning
Data Analysis sixth step: Are we (really) done?
Part 7: Data Analysis sixth step: validation
Data Analysis fifth step: Here comes the sun… ehm… the fun!
Part 6: Data Analysis fifth step: data processing
Data Analysis fourth step: It’s time to suite up!
Part 5: Data Analysis fourth step: data pre-processing
Data Analysis third step: It’s not data we explore, but ourselves
Part 4: Data Analysis third step: data exploration
Data Analysis second step: How I met your data
Part 3: Data analysis second step: data acquisition
Data Analysis first step: goal setting
Part 2: Data analysis first step: goal setting
Data Analysis: You know you need it…!
Part 1: Data analysis main steps
In KPI we trust… or not?
Data analysis in the renewable energy sector. Aka we want accurate info!
So far, so good. But: failure is coming… Predictive maintenance for PV solar assets
Who should read: Solar Asset Managers and O&M Contractors Why you should read: Reading this document will help you...
Will be (a fault) or no will be? This is the (predictive) question!
How to predict incoming faults and live happily ever after – Part 1