Assessing deep learning performance in power demand forecasting for smart grid.
Hengshuo LiangCheng QianWei YuDavid W. GriffithNada GolmiePublished in: Int. J. Sens. Networks (2024)
Keyphrases
- deep learning
- smart grid
- demand forecasting
- power grid
- power system
- historical data
- communication networks
- load forecasting
- forecasting accuracy
- unsupervised learning
- machine learning
- supply chain
- communication systems
- information security
- advanced metering infrastructure
- power consumption
- network management
- data center
- security issues
- weakly supervised
- smart home
- data collection
- water resources
- intrusion detection
- long term
- artificial neural networks
- data analysis
- feature selection
- information systems
- computer vision