TBMEnv - An Environment to Assess the Accuracy of Thermal Building Models under Realistic Conditions.
David WölfleSamed Rouven VossbergHartmut SchmeckPublished in: BuildSys@SenSys (2023)
Keyphrases
- high accuracy
- real time
- mobile robot
- environmental conditions
- computational cost
- data sets
- artificial intelligence
- artificial neural networks
- probabilistic model
- machine learning algorithms
- experimental data
- autonomous agents
- robotic systems
- models built
- predictive power
- highly accurate
- neural network model
- complex systems
- sufficient conditions
- recommender systems
- learning algorithm