Accurate short-term load forecasting is critical for enhancing the reliability and stability of
regional smart energy systems. However, the inherent challenges posed by the substantial …

This paper presents a novel approach to monitor the status of electrical equipment using
Internet of Things (IoT) and relaying-aided transmission technologies, where the data rate is …

Nowadays, massive texts are generated on the web, which contain a variety of viewpoints,
attitudes, and emotions for products and services. Subjective information mining of online …

Aiming at the problems of regional-level power load forecasting accuracy and efficiency,
this paper proposes a multi-step short-term load forecasting model based on attention mech-…

Background: Healthcare professionals in Taiwan are exposed to a myriad of occupational
health and safety hazards, including physical, biological, chemical, ergonomic, and …

Background Metabolic syndrome (MetS) is associated with a high risk of endometrial cancer
(EC). However, its impact on EC progression remains unclear. This meta-analysis …

Efficient harvesting and storage of dispersed irregular energy from the environment are crucial
to the demand for the distributed devices of the Internet of Things (IoTs). Here, a carbon …

Recently, more and more users publish their views on events in social media. Identifying
influential users in social media can help to analyse the impact of hot events or enterprise …

Abstract: The accurate evaluation of the error status of the protection measurement circuit
can help to understand the operation status of the protection devices, and to timely and …

The hierarchical aggregation and control of electric vehicles (EVs) is an effective way to
promote the consumption of clean energy and ensure the balance of power demand-supply. In …