The collection encompasses a variety of studies and papers focused on energy consumption and its monitoring across different domains. Topics include real-time monitoring systems using IoT, energy-efficient practices in machine learning, and the development of systems like smart street lighting designed to reduce energy usage. Additionally, it explores the analysis of deep learning models for anomaly detection related to energy consumption, and the implications of software development on energy costs. The emphasis is on sustainability, efficiency, and innovative solutions for managing energy effectively.
A Heterogeneous Deep Ensemble Approach for Anomaly Detection in Class Imbalanced Energy Consumption Data
