An OpenAI Gym environment for Multi-Agent Reinforcement Learning Systems applied to intelligent energy management. https://github.com/intelligent-environments-lab/CityLearn
GitHub
Occupancy detection and estimation
As occupants and their behaviors are responsible for a significant share of energy consumption, it is important to gather occupancy information for operating infrastructures efficiently. In fact, gathering and understanding occupancy patterns are considered as grand challenges for smart buildings and cities. Capitalizing on the pervasiveness of mobile devices with… read more
Apples or Oranges? Energy Profile Clustering
In recent years, smart energy meters have been deployed to enable monitoring of energy use data with hourly or sub-hourly temporal resolution. The concurrent rise of information technologies and data analytics enabled the development of novel applications such as customer segmentation, load profiling, demand response, energy forecasting, and anomaly detection.… read more