Energy models are valuable tools that are commonly employed for the optimal design of
distributed energy systems (DES). However, the model-based design process of DES can …

Renewable energy, particularly solar and wind energies are associated with high degree of
uncertainty due to climatic conditions. A proper modelling and analytical treatment of these …

Recent intelligent fault diagnosis technologies can effectively identify the machinery health
condition, while they are learnt based on a closed-world assumption, ie, the training and …

Home energy management (HEM) systems enable residential consumers to participate in
demand response programs (DRPs) more actively. However, HEM systems confront some …

The penetration of distributed energy resources (DER), including distributed generators,
storage devices, and demand response (DR) is growing worldwide, encouraged by …

In order to achieve low-carbon development, the joint operation of virtual power plants (VPP)
and clean power to hydrogen (P2H) is a hot issue. However, the conventional centralized …

Microgrids with different technologies in distributed generations (DGs), different control
facilities and power electronic interfaces require proper management and operation …

Net zero energy buildings (NZEBs) are promising to mitigate the increasing energy and
environmental problems. For NZEBs, annual energy balance between renewable energy …

With the rapid growth of electric vehicles (EVs) in distribution systems, a new player, called
EV parking lot operator (EV PLO), is emerging around the world. Furthermore, the …

Long-term remaining useful life (RUL) prediction is essential for the maintenance of safety-
crucial engineering assets. Deep learning (DL) models, especially Transformer-based …