The development of Internet of Things (IoT) brings new changes to various fields.
Particularly, industrial IoT (IIoT) is promoting a new round of industrial revolution. With more …

Significant amounts of data are collected in buildings. While these data have great potential
for maximizing the energy efficiency of buildings in general, only a small portion of the data …

The Alternating Direction Method of Multipliers (ADMM) and its distributed version have
been widely used in machine learning. In the iterations of ADMM, model updates using local …

Abstract Internet of Everything (IoE) is playing key role to enable smart energy management
in buildings. A huge amount of load data are accumulated continuously to control the energy …

Information-centric networking (ICN) as an emerging networking paradigm has recently
gained significant attention, due to the improvement of content delivery efficiency. The built …

Smart meters and the smart grid will allow utility companies and customers to monitor their
electricity and utility usage in fine-grained detail instead of the previously common monthly …

Cyber-physical systems (CPS) often referred as “next generation of engineered systems” are
sensing and communication systems that offer tight integration of computation and …

In the past few years, it has become increasingly popular to analyze the information
obtained to develop services by conducting a decentralized survey of private data for …

The evolution of smart grids improves the sustainability, controllability, stability, and
efficiency of traditional power grids. There is a challenging issue in smart grids with …

Nowadays, the development of machine learning shows great potential in a variety of fields,
such as retail, healthcare, and insurance. Effective machine learning models can …