handle case when only artifical load must be loaded
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@ -183,7 +183,7 @@ def manual_adjustment(load, fn_load, countries):
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elif "MK" in load:
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load["AL"] = load["MK"] * (4.1 / 7.4)
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if "MK" in countries:
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if "MK" in countries and "MK" in countries:
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if "MK" not in load or load.MK.isnull().sum() > len(load) / 2:
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if "ME" in load:
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load["MK"] = load.ME * (6.7 / 2.9)
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@ -192,7 +192,7 @@ def manual_adjustment(load, fn_load, countries):
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if "ME" in load:
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load["BA"] = load.HR * (11.0 / 16.2)
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if "KV" not in load or load.KV.isnull().values.all():
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if ("KV" not in load or load.KV.isnull().values.all()) and "KV" in countries:
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if "RS" in load:
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load["KV"] = load["RS"] * (4.8 / 27.0)
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@ -267,7 +267,7 @@ if __name__ == "__main__":
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snakemake.params.snapshots, snakemake.params.drop_leap_day
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)
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fixed_year = snakemake.config["load"].get("fixed_year", False)
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fixed_year = snakemake.params["load"].get("fixed_year", False)
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years = (
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slice(str(fixed_year), str(fixed_year))
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if fixed_year
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@ -281,6 +281,8 @@ if __name__ == "__main__":
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load = load_timeseries(snakemake.input.reported, years, countries)
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load = load.reindex(index=snapshots)
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if "UA" in countries:
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# attach load of UA (best data only for entsoe transparency)
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load_ua = load_timeseries(snakemake.input.reported, "2018", ["UA"])
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@ -297,9 +299,6 @@ if __name__ == "__main__":
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if snakemake.params.load["manual_adjustments"]:
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load = manual_adjustment(load, snakemake.input[0], countries)
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if load.empty:
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logger.warning("Build electricity demand time series is empty.")
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logger.info(f"Linearly interpolate gaps of size {interpolate_limit} and less.")
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load = load.interpolate(method="linear", limit=interpolate_limit)
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