Predicting Short Term Energy Demand in Smart Grid: A Deep Learning Approach for Integrating Renewable Energy Sources in Line with SDGs 7, 9, and 13.
Md. Saef Ullah MiahJunaida SulaimanMd. Imamul IslamMd. MasuduzzamanPublished in: CoRR (2023)
Keyphrases
- renewable energy sources
- deep learning
- smart grid
- power system
- short term
- power generation
- load forecasting
- long term
- power grids
- power grid
- cyber security
- wind power
- unsupervised learning
- machine learning
- computational intelligence
- wind speed
- critical infrastructure
- communication networks
- network security
- information technology
- expert systems
- artificial intelligence
- neural network
- security issues
- anomaly detection
- control system
- multi agent