Package: evprof 1.1.2

evprof: Electric Vehicle Charging Sessions Profiling and Modelling
Tools for modelling electric vehicle charging sessions into generic groups with similar connection patterns called "user profiles", using Gaussian Mixture Models clustering. The clustering and profiling methodology is described in Cañigueral and Meléndez (2021, ISBN:0142-0615) <doi:10.1016/j.ijepes.2021.107195>.
Authors:
evprof_1.1.2.tar.gz
evprof_1.1.2.zip(r-4.5)evprof_1.1.2.zip(r-4.4)evprof_1.1.2.zip(r-4.3)
evprof_1.1.2.tgz(r-4.5-any)evprof_1.1.2.tgz(r-4.4-any)evprof_1.1.2.tgz(r-4.3-any)
evprof_1.1.2.tar.gz(r-4.5-noble)evprof_1.1.2.tar.gz(r-4.4-noble)
evprof_1.1.2.tgz(r-4.4-emscripten)evprof_1.1.2.tgz(r-4.3-emscripten)
evprof.pdf |evprof.html✨
evprof/json (API)
NEWS
# Install 'evprof' in R: |
install.packages('evprof', repos = c('https://mcanigueral.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/resourcefully-dev/evprof/issues
Pkgdown site:https://resourcefully-dev.github.io
Last updated 3 hours agofrom:78c8a97560. Checks:6 OK, 3 NOTE. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Apr 01 2025 |
R-4.5-win | OK | Apr 01 2025 |
R-4.5-mac | OK | Apr 01 2025 |
R-4.5-linux | OK | Apr 01 2025 |
R-4.4-win | NOTE | Apr 01 2025 |
R-4.4-mac | NOTE | Apr 01 2025 |
R-4.4-linux | NOTE | Apr 01 2025 |
R-4.3-win | OK | Apr 01 2025 |
R-4.3-mac | OK | Apr 01 2025 |
Exports:choose_k_GMMcluster_sessionscut_sessionsdefine_clustersdetect_outliersdivide_by_disconnectiondivide_by_timecycledrop_outliersget_charging_rates_distributionget_connection_modelsget_daily_avg_n_sessionsget_daily_n_sessionsget_dbscan_paramsget_energy_modelsget_ev_modelplot_bivarGMMplot_density_2Dplot_density_3Dplot_division_linesplot_energy_modelsplot_histogramplot_histogram_gridplot_kNNdistplot_model_clustersplot_outliersplot_pointsread_ev_modelround_to_intervalsave_clustering_iterationssave_ev_modelset_profilessummarise_sessions
Dependencies:askpassbase64encbslibcachemclicolorspacecowplotcpp11crosstalkcurldata.tabledbscandigestdplyrevaluatefansifarverfastmapfontawesomefsgenericsggplot2gluegtablehighrhtmltoolshtmlwidgetshttrisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclelubridatemagrittrMASSMatrixmclustmemoisemgcvmimemunsellnlmeopensslpillarpkgconfigplotlypromisespurrrR6rappdirsRColorBrewerRcpprlangrmarkdownsassscalesstringistringrsystibbletidyrtidyselecttimechangetinytexutf8vctrsviridisLitewithrxfunyaml