define energy only market parameters

src/demoses_distibuted_optimization/define_EOM_parameters.py

+import pandas as pd
+
+
+def define_EOM_parameters(ts: pd.DataFrame, number_of_agents: int):
+    """Define a EOM dictionary with load data from the timeseries DataFrame."""
+    EOM = dict()
+    EOM['D'] = ts.loc[:,'LOAD'].values
+    EOM["nAgents"] = number_of_agents
+    return EOM
+
+
+# # Example usage:
+# import yaml
+
+
+# def read_config(config_file):
+#     with open(config_file, 'r') as file:
+#         config = yaml.safe_load(file)
+#     return config
+
+# data = read_config('config.yaml')
+
+# agents = {}
+# agents['Gen'] = [id for id in data['Generators'].keys()]
+# agents['Cons'] = [id for id in data['Consumers'].keys()]
+# agents['eom'] = agents['Gen'] + agents['Cons']
+
+# ts = pd.read_csv('timeseries.csv', delimiter=';')
+# number_of_agents = len(agents['eom'])
+
+# EOM = define_EOM_parameters(ts=ts, number_of_agents=number_of_agents)
+# print(EOM)
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