New apps Added

custom_components/intelligent_heating_pilot/domain/constants.py

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+"""Domain constants for heating prediction business logic.
+
+These constants define the business rules for heating anticipation calculations.
+They are part of the domain layer and independent of infrastructure concerns.
+"""
+
+# Anticipation time constraints (in minutes)
+MIN_ANTICIPATION_TIME = 10  # Minimum anticipation before heating starts
+MAX_ANTICIPATION_TIME = 360  # Maximum anticipation (6 hours)
+DEFAULT_ANTICIPATION_BUFFER = 5  # Safety buffer to ensure target is reached on time
+
+# Heating slope thresholds (in °C/hour)
+MIN_VALID_SLOPE = 0.1  # Minimum valid heating slope (technical threshold)
+MINIMUM_REALISTIC_LHS = 0.2  # Minimum realistic LHS for effective heating (business threshold)
+DEFAULT_LEARNED_SLOPE = 2.0  # Default slope when no learning data exists
+
+# Dead time (in minutes)
+DEFAULT_DEAD_TIME_MINUTES = 0.0  # Default dead time when no learning data exists
+
+# Environmental correction factors
+OUTDOOR_TEMP_REFERENCE = 20.0  # Reference outdoor temperature (°C)
+OUTDOOR_TEMP_FACTOR = 0.05  # Impact factor per degree difference
+HUMIDITY_REFERENCE = 50.0  # Reference humidity percentage
+HUMIDITY_FACTOR = 0.002  # Impact factor per humidity percentage point
+CLOUD_COVERAGE_FACTOR = 0.001  # Solar gain factor per cloud coverage percentage
+
+# Confidence thresholds
+HIGH_CONFIDENCE_SLOPE = 1.5  # Slope threshold for high confidence (°C/h)
+MEDIUM_CONFIDENCE_SLOPE = 0.5  # Slope threshold for medium confidence (°C/h)
+BASE_HIGH_CONFIDENCE = 0.9  # Base confidence with good slope
+BASE_MEDIUM_CONFIDENCE = 0.75  # Base confidence with medium slope
+BASE_LOW_CONFIDENCE = 0.6  # Base confidence with low slope
+CONFIDENCE_BOOST_PER_SENSOR = 0.05  # Confidence increase per environmental sensor