Energy-aware system design is an important optimization task for static and mobile Internet
of Things (IoT)-based sensor nodes, especially for highly resource-constrained vehicles …

A deep learning model based on transfer learning for power quality (PQ) disturbances
detection and classification has been proposed in this article. The power disturbances are …

As a reliable communication medium, the wireless radio channel determines the quality and
performance of wireless communication systems. It is imperative for operators to accurately …

YAs China advances its transition towards green and low-carbon energy, the proportion of
new energy generation in the power grid is gradually increasing, leading to a significant rise …

Paving the path toward the fifth generation (5G) of wireless networks with a huge increase in
the number of user equipment has strengthened public concerns on human exposure to …

The timely management of low voltage issues in the distribution network relies heavily on
accurate predictions of voltage in the station areas. Many current methods for voltage …

This paper proposes a method to predict received power in indoor environments
deterministically, which can learn a prediction model from small amount of measurement …

Abstract 5G is currently being implemented around the world. A way to save resources in 5G
could be to have several sector carriers sharing one power source. This requires being able …

In this chapter, the random forest-based ensemble regression method is used for the
prediction of powerline impedance at the powerline communication (PLC) narrowband …

With the proposal of" carbon peaking and carbon neutrality" goals, the permeability of new
energy in the station area is gradually improved. The volatility and randomness of its output …