Man pages for aroyal641/ebase
Energy Baseline and Prediction
| adjustedN | Serial-Corr. Correction |
| caltrack | CalTrack Method |
| caltrack.hourly | CalTrack Hourly |
| CVRMSE | CVRMSE calculation |
| ebAddEvent | Add Event |
| ebCluster | Loadpath Cluster Generic |
| ebCluster.LC_hour | Hourly Loadpath Clustering |
| ebDataFormat | Data Format |
| ebForecast | Forecast Method |
| ebForecast.regress | Forecast Method |
| ebGapFill | Fill Gaps in Date-range of Table |
| ebGetStation | Get Nearest Weather Station |
| ebHourlyTempFacet | Facet Plot Hourly Temperature Profile |
| ebImpute | QC Check on Use Data |
| ebList | List Formatted Data |
| ebList.ebFormatted | Data List Method |
| ebLoadClass | PCA Load Classifier |
| ebMeterFormat | Meter Format |
| ebModel | Baseline Model |
| ebOccupancy | Create Occupancy Lookup |
| ebOutlierWeights | Apply Outlier Weights |
| ebPlot | Plot Meter Data |
| ebPlot.data.table | Plot Predictions |
| ebPlot.LC_hour | Plot Hourly PCA |
| ebPlot.lcluster | Plot Loadpath Clusters |
| ebPlot.savings | Plot Savings |
| ebPlot.tprofile | Plot Temperature Profile |
| ebPredict | Predictions |
| ebQC | QC Check on Use Data |
| ebRawConvert | Convert Raw Utility Data to Long-form |
| ebSavings | Format Savings from Summary Object |
| ebSavings_ECM | Summarize ECM Savings |
| ebStack | Stack Formatted Data |
| ebStack.ebFormatted | Data Stack Method |
| ebSummary | Summarize Prediction Data |
| ebSummary.norm | Normalized Savings Summary |
| ebSummary.prediction | Prediction and Savings Summary |
| ebTempProf | Retrieve Temperature Profile |
| ebWeather | Get NOAA Hourly Weather |
| gboost | Gradient Boost |
| gboost.hourly | Hourly Gradient Boost |
| get_tbins | Temp Bins Helper Function |
| get_towDict | TOW Dictionary Helper |
| hybrid | Hybrid Method |
| hybrid.hourly | Hybrid Hourly |
| NMBE | NMBE calculation |
| predict.caltrack | CalTrack Predict |
| predict.gboost | GBoost Predict |
| predict.hybrid | Hybrid Predict |
| predict.regress | Regression Predict |
| predict.tprofile | Predict site-year heating and cooling load |
| R2 | R2 calculation |
| regress | Regression Method |
| regress.hourly | Hourly Regression |
| rforest | Random Forest |
| rforest.hourly | Hourly random forest |
| strip_lm | Reduce size of linear model |
| translate_temp | Clean NOAA Temp Helper |
| varCalc | Variance calculation |
