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- # -*- coding: utf-8 -*-
- import scipy.io as sio
- from app.core.config import settings
- q_learning_models = {}
- ahu_supply_air_temp_set_dict = {}
- async def load_q_learning_model():
- base_path = settings.PROJECT_DIR
- summer_model_path = (
- f"{base_path}/app/resources/ml_models/equipment/fcu/q_learning/net_1_summer.mat"
- )
- winter_model_path = (
- f"{base_path}/app/resources/ml_models/equipment/fcu/q_learning/net_1_winter.mat"
- )
- q_learning_models.update({"summer": sio.loadmat(summer_model_path)["net"][0, 0][0]})
- q_learning_models.update({"winter": sio.loadmat(winter_model_path)["net"][0, 0][0]})
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