智能电网三维功率图--一种高维分析与可视化的集成
3D Power-map for Smart Grids---An Integration of High-dimensional Analysis and Visualization
摘要：
具有体积、速度、多样性和准确性特征的数据正在挑战传统工具，以提取有用的分析用于决策。通过将高维分析与可视化相结合，本文开发了一种三维功率图动画，作为一种有效的解决方案。提出了一种实现集成的体系结构设计，并给出了详细的数据处理流程。提出了该体系结构中最重要的两个组成部分：作为坚实数学基础的随机矩阵单环定律，以及作为可视化高维数据的统计指标MSR。整个过程逻辑简单，速度快，客观，甚至对坏数据具有鲁棒性。此外，它是一种直接面向原始数据的无监督机器学习机制，而不是基于简化和假设的逻辑或模型。最后通过实例验证了该三维功率图在分析提取中的有效性和性能。
英文摘要：
Data with features of volume, velocity, variety, and veracity are challenging traditional tools to extract useful analysis for decision-making. By integrating high-dimensional analysis with visualization, this paper develops a 3D power-map animation as an effective solution to the challenge. An architecture design, with detailed data processing procedure, is proposed to realize the integration. Two of the most important components in the architecture are presented: the Single-Ring Law for random matrices as solid mathematic foundation, and the proposed statistical index MSR as high-dimensional data for visualization. The whole procedure is easy in logic, fast in speed, objective and even robust against bad data. Moreover, it is an unsupervised machine learning mechanism directly oriented to the raw data rather than logics or models based on simplifications and assumptions. A case study validates the effectiveness and performance of the developed 3D power-map in analysis extraction.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
