Building energy consumption prediction has a significant effect on energy control, design
optimization, retrofit evaluation, energy price guidance, and prevention and control of COVID …

Accurate load forecasting is important to mitigate the negative impact of Electric vehicle
integration into the existing grid. Previous studies mostly focus on individual or aggregated …

Establishing a new type of electricity system based on rooftop photovoltaics (PV) can
facilitate the energy transition in rural China. Research on the mismatch between the PV …

Load patterns represent a clear picture of electricity usage, reflecting the consumer's habits.
Previous works mainly focused on load patterns discovery on a fixed scale, but limited to …

Energy demand from the built environment is among the most important contributors to
greenhouse gas emissions. One promising way to curtail these emissions is through …

Navigating the complexities of optimizing Renewable Energy System components requires
addressing economic, technical, and regulatory challenges. However, existing research …

Electrification in buildings is an inevitable trend under carbon neutrality targets and this
increases the penetration rate of renewable energy sources in power grids. Understanding …

Buildings could help solve the supply and demand mismatch of electricity by providing
energy flexibility to the grid. Thermal models of a dwelling are required to properly exploit …

Extracting users' energy consumption patterns (ECPs) from smart meter data is an important
work for retailers. The existing literature usually describe these patterns by clustering the …

Time granularity is a key parameter necessary for short-time passenger flow prediction of
urban rail transit (URT); however, no universal method is available for its setting. This study …