feat(application): integrate measured-load ingestion training and planner source

2026-10-02 21:00:05 +00:00
parent 44362e4bf5
commit fc024fcfba
96 changed files with 8933 additions and 0 deletions
@@ -0,0 +1,13 @@
+from methods.battery_optimizer import optimize_grid_setpoint, train_artifact
+from methods.common import save_model
+
+FORECAST_ID = 23
+
+
+def train(data_obj):
+    aid = data_obj["config"]["anlagen_id"]
+    return {"trained": True, "path": save_model(aid, FORECAST_ID, train_artifact("var_21_22"))}
+
+
+def predict(data_obj, pv_dict, load_dict):
+    return optimize_grid_setpoint(data_obj, pv_dict, load_dict, forecast_id=23)