Electricity Theft Detection for Smart Homes: Harnessing the Power of Machine Learning With Real and Synthetic Attacks.
Olufemi Abiodun AbrahamHideya OchiaiMd Delwar HossainYuzo TaenakaYouki KadobayashiPublished in: IEEE Access (2024)
Keyphrases
- smart home
- machine learning
- energy conservation
- ambient intelligence
- identity theft
- electricity markets
- intelligent agents
- activity recognition
- assisted living
- power generation
- detection algorithm
- power consumption
- intrusion detection and prevention
- smart environments
- load forecasting
- computational intelligence
- decision trees
- home automation
- ubiquitous environments
- artificial intelligence
- anomaly detection
- activities of daily living
- human activities
- transfer learning
- machine learning algorithms
- energy aware
- active learning
- insider threat