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predictdemand(...)
When using predictdemand(region="Oceania",era_year=2011,sspyear=2050,ssp_scenario="ssp2-2.6") I encounter the following error:
predictdemand(region="Oceania",era_year=2011,sspyear=2050,ssp_scenario="ssp2-2.6")
ERROR: LoadError: ArgumentError: The time zone "Australia/Currie" is of class `TimeZones.Class(:LEGACY)` which is currently not allowed by the mask: `TimeZones.Class(:FIXED) | TimeZones.Class(:STANDARD)` Stacktrace: | ETA: 0:00:29Dates.TimeZone(str::String, mask::TimeZones.Class) @ TimeZones ~/.julia/packages/TimeZones/hCVio/src/types/timezone.jl:65 [2] Dates.TimeZone(str::String) @ TimeZones ~/.julia/packages/TimeZones/hCVio/src/types/timezone.jl:46 [3] regional_timezone_offsets_Jan1(; gisregion::String, scenarioyear::String, era_year::Int64) @ GlobalEnergyGIS ~/.julia/packages/GlobalEnergyGIS/W3ICK/src/syntheticdemand_inputdata.jl:238 [4] buildtrainingdata(; gisregion::String, sspscenario::String, sspyear::Int64, era_year::Int64, numcenters::Int64, mindist::Float64) @ GlobalEnergyGIS ~/.julia/packages/GlobalEnergyGIS/W3ICK/src/syntheticdemand_inputdata.jl:151 [5] predictdemand(; variables::Vector{Symbol}, gisregion::String, sspscenario::String, sspyear::Int64, era_year::Int64, numcenters::Int64, mindist::Float64, nrounds::Int64, max_depth::Int64, eta::Float64, subsample::Float64, metrics::Vector{String}, more_xgoptions::Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}) @ GlobalEnergyGIS ~/.julia/packages/GlobalEnergyGIS/W3ICK/src/syntheticdemand_training.jl:11 [6] top-level scope @ ~/share/GitHub/SynDe/.snakemake/scripts/tmp79idtcpl.synthesize_demand.jl:46 in expression starting at /home/pypsa/share/GitHub/SynDe/.snakemake/scripts/tmp79idtcpl.synthesize_demand.jl:46
The region used includes Australia and is based on the following GADM subregions:
Oceania: - "Australia" - "Fiji" - "Guam" - "Kiribati" - "Northern Mariana Islands" - "New Caledonia" - "New Zealand" - "Palau" - "Papua New Guinea" - "French Polynesia" - "Solomon Islands" - "Tonga" - "Vanuatu" - "Samoa"
The text was updated successfully, but these errors were encountered:
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When using
predictdemand(region="Oceania",era_year=2011,sspyear=2050,ssp_scenario="ssp2-2.6")
I encounter the following error:The region used includes Australia and is based on the following GADM subregions:
The text was updated successfully, but these errors were encountered: