Data-driven building energy efficiency prediction based on envelope heat losses using physics-informed neural networks.
Vasilis MichalakopoulosSotiris PelekisGiorgos KormpakisVagelis KarakolisSpiros MouzakitisDimitris AskounisPublished in: CoRR (2023)
Keyphrases
- energy efficiency
- data driven
- neural network
- energy consumption
- power consumption
- wireless sensor networks
- data center
- energy efficient
- sensor networks
- response time
- energy saving
- power saving
- high performance computing
- power management
- energy management
- routing protocol
- smart home
- energy aware
- sensor nodes
- fuzzy logic
- traffic load
- artificial intelligence
- wireless sensor
- energy conservation
- real time
- reduce the energy consumption
- data transmission
- sensor data
- artificial neural networks
- reinforcement learning
- base station
- anomaly detection
- databases
- data sets