Shihua Cao

TL;DR: An improved particle swarm optimization (IPSO) algorithm, which adopts both global and local modes to locate the maximum power point, is proposed, and has the capability to track the globalmaximum power point within 3.3 s with an accuracy of 99%.

TL;DR: The proposed ultra-short-term PV power prediction model based on dynamic characteristics of the cloud that is sheltering the sun can significantly improve the power prediction performance, especially in cloudy weather.

TL;DR: In this article, the design of the medical health monitoring IoT system based on cloud computing is discussed, where three devices: sensor terminal, gateway terminal, and service platform are used to measure physiological indicators, such as blood pressure, electrocardiogram, blood oxygen saturation, heart rate, and other physiological indicators.

TL;DR: The proposed energy optimization management method based on model predictive control has been verified by simulation, and simulation results show that the proposed method provides the demanded energy to consumers in real time, and improves renewable energy efficiency.

TL;DR: Wang et al. as mentioned in this paper introduced blockchain technology to construct a trust-enabled interaction framework in a cloud-fog-edge environment, and through a double-chain structure, it improves the reliability and verifiability of task processing without a big management overhead.