ecpEnergyTwinEvaluation 1.0.4 - ecpEnergyTwinEvaluation

ecpEnergyTwinEvaluation

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v1.0.4

Welcome to the Energy Twin (ET) extension for SkySpark. Energy Twin is a machine learning-based SkySpark extension for energy data analysis and prediction.

Energy Twin libraries available on StackHub:

ET Analytics
- advanced ML library using detailed models with up to 15min sampling
- ideal for building electrical energy consumption analysis and prediction
- anomaly detection - predefined Sparks
- tailored KPIs
- based on the TOWT model by LBNL
- free to download, licensed by ET Core
ET Interactive
- simple to use regression analysis using degree-days models and ASHRAE change point models
- interactive model tuning and outlier removal
- perfect for heat consumption analysis
- free to download, licensed by ET Core
ET Core
- core mathematical modeling algorithms referenced by both ET Analytics and ET Interactive
- ET licensing mechanism for both ET Analytics and ET Interactive
ET Evaluation
- additional tool for ET models’ prediction evaluation
- free to download, operates only with models from ET Analytics and ET Interactive
ET Common Tools
- necessary package containing common functions used by all extensions