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Created with Raphaël 2.2.020May8Apr11Dec11Nov4Oct6Jun23May26Mar2012961Feb4Jan23Oct29Sep2827257518Aug31Jul15131119Jun15144May24Apr1714131264331Mar282723212017161510863223Feb131098632131Jan3026201713121110623Nov171514109431Oct272419141130Sep2927222015137611Aug10934Jul130JunMerge branch 'dev_cvo_refactoring' into 'main'mainmainDistrict modeldev_yhe_citymodeldev_yhe_citymodel11detacheddetachedProperly added remaining profile types for demand generatorsUpdated demand_generator.py to work with different profilesRedid input profile handling and generationReimplemented demand generatorProfiles use numpy arrays nowFixed electric vs electricalEverything is Topology nowMoved model building and solving into TopologyMade pareto analysis available to all entitiesAdded ProfileRefactored dynamicsMoved dynamics to Model_LibraryClean-up of importsExpanded Topology for sub topologiesRemoved PredictorChanged from fppropeht to prophetdev_jbr_mkr_upd…dev_jbr_mkr_updating_pandasPandas + MatplotlibStep one updating to pandas 2.2Merge branch 'dev_cvo_results' into 'main'Made Prosumer not store its own sizing modelParameterized objective functionMerge branch 'dev_cvo_dynamics' into 'main'Internally use seconds for time step sizesSwitched to new resamplingAdded and tested new resamplingImplemented GlobalDynamicRemoved Profile classFixes and namesAdded resampling of variablesupdatedev_V2X_jfudev_V2X_jfuFixesGave profiles their own dynamicMade dynamic.time_steps() list-likeFirst implementationMerge branch 'dev_cvo_input_resampling' into 'main'Fix in input profile processorcreate folder for saving results in pareto_analysisdev_jbr_paretodev_jbr_pareto