Study on Online Recognition Method of Renewable Energy Cascading Tripping Evaluation Based on Machine Learning

Wu, Feng; Bao, Yuequan; Ruan, Jian; Ren, Xiancheng; Liu, Shaofeng; Wang, Tu

doi:10.1109/icpre48497.2019.9034864

Cited by 4 publications

(1 citation statement)

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“…Powering a facility or even a single machine recurring to renewable energy strategies is an achieved goal [1]. In the field of renewable energies several relevant research state-of-the-art projects have being conducted to improve efficiency and to rationalize installation costs by introducing several innovative approaches [2], [3], [4] [5], [6], [7], [8], [9] and [10]. All the described goals and innovation achievements supported by data networks for data flow brought along the new introduction of concepts such as Big Data [11], [12] and [13], Artificial Intelligence (AI) [14], [15], [16], [17], [18], Internet of Things (IoT) [19], [20], [21], [22] and [23] and many others.…”

Section: Introductionmentioning

confidence: 99%

The relevance of IT Security awareness in Renewable Energy facilities

Lourenço¹,

Zanghi²,

Morais³

et al. 2024

RE&PQJ

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In recent years several efforts have being made in bringing smart network connectivity to the Renewable Energy Plant (REP) environment. On the other hand, REP is extending in scale from specialized points where the energy provider acts as a supplier to home REP (self-energy producers). This enables new important features such as: process automation, monitoring, control and optimizations. On the other hand, and in particular during and after the Covid19 pandemics the cybersecurity menace is a massive concern. The digital literacy of a worker of such an infrastructure is relevant to the correct implementation of adequate security policies. This article describes the threats and challenges on the field and conducts an enquire for perceiving the awareness of Automation and Mechanics Engineering students for this relevant problem, as future player in the field.

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