Location-aware Energy Disaggregation in Smart Homes

Providing detailed appliance level energy consumption may lead consumers to understand their usage behavior and encourage them to optimize the energy usage. Non-intrusive load monitoring (NILM) or energy disaggregation aims to estimate appliance level energy consumption from aggregate consumption data of households. Hitherto, proposed NILM...

Personalized Energy Services: A Data-Driven Methodology towards Sustainable, Smart Energy Systems

The rapid pace of urbanization has an impact on climate change and other environmental issues. Currently, 54% of the global population lives in cities accounting for two-thirds of global energy demand. Sustainable energy generation and consumption is the top humanity’s problem for the next 50 years. Faced with rising urban population and the...