Rule-based approaches for energy savings in an ambient intelligence environment

摘要

Energy saving is essential for life on Earth. Hence, it is fundamental in developing new important ambient intelligence (AmI) systems, for example, applications in smart homes, health, transportation, emergency, education, and the workplace. Artificial intelligence (AI) is also utilized for smart automation and human-computer interactions. Current AmI applications are mostly for network protocol unification and multimedia streaming, yet they only marginally apply to real energy savings.