hour rotating extend_weekday_array reproducibility python ๐’Ÿre multiple threshold convert coupling view 015803 temperature_region change colour left tuesday set_title representing should 2158 timeserie celsiu 721447 land degree to_csv mean float demand_ yticks_minor config generating simulate realisations_size partial random load noise_array autoregressive true demand_stoch_norm blue label equal response 134788 068389 weekend minor doi sharey 100000 week 298340 reverse sigma_z follow make 'svg' any different loc demand_stoch 1980 2009 variability residual hide axi text optional see norm 'ignore' deterministic further flatten changed non inlinebackend read_csv may variable constructed introduced library folder vation ๐›ผCDD 390900 region default_rng 2016 tion 213885 HDD capacity expressed all reshaper notebook system ytick thu high cold row 213271 base consider longterm zorder fitting significant apply_axis_calendar 300000 set_ylim result local file work risk fix path add configuration however normally new normalised v0_8 subplot observed mid 16072 present append sigma year str order MERRA read set_major_formatter our alpha table trend ๐‘‡๐‘‹๐ท๐ท nanomaly tick transform supporting GB export into set_ytick line around following nan serie generator handle weekday 220509 compatibility MET _normalised_noweekday bug north_scotland column unles number thresh large experiencing standard term seed period dimensioning distributed initialise 393188 vector fontsize modelled format daily rng group higher via driven standard_normal day stochastic svg weekday_pattern entire demand having existant q05 etc constant 75266 zip render fig jupyter temperature distribution degc http 908 sy subsequently summer ability occurred equation weekday_array then centred generate simulating observation historic func unit ar_array data panel arange adjust beyond apply note transaxe import 2020 twinx librarie sunday available S2 old plot plc sqrt using 7x7 demand_norm generation evaluation simulated width MW north physical ๐›ผ๐‘‹๐ท๐ท set cooling model size set_ylabel function hypothetical determinsitic ax2 calculated effect pyplot applying int_degc_formatter index_col bbox_to_anchor coefficient D0 between increase dataframe ensure quantile numpy fallon citation month multiply saving paper construct grid lag realisation 001198 module notebook' doe incoprorated tab error resetting would stat CDD max demand_anom 200836 acces DD false GW len date q95 merra2 2012 1002 first weekday_pattern_array BT range obser csv obtaining weather example start converting used stochastic_ autocorrelation pattern offset legend calculate better benefit RNG figure coef calculation deviation name fill_between than reanalysi style visualise 'seaborn let some scotland helper adding AR1 int_percent_formatter math pseudo spanning _anomaly_noweekday x24 plt normal component use AR stored absence message occur 2022 information warning scaled value curve anomaly squeeze during responding static demand_unit proces trained london heating monday demonstration 001541 MERRA2 imported electricity desired uptick level accounting event CSV infrastructure_mean_demand_norm remember kwh suptitle please reserve matplotlib energy telecommunication including required now 846483 index anom yaxi DPI infrastructure transfer coe๏ฌ€icient 012481 2010 default vari choose save 2023 one other none 2024 figure_format april 560 filterwarning title induced 055420 ax sharex setup implement array latest color stamp 160642 ๐›ผHDD time power based panda measurement grey autocorrelated output pas permit rho dataset plotting assessment org defined