A Flexible Machine Learning Environment for Steady State Security
作者:
所属专业方向:
power system
摘要:
Machine Learning techniques have been applied to power system analysis for a number of years.
The need for a flexible computing environment to support these studies is derived by the
complexity of the process, the volume of data often used and the diversity of the applied tools
and techniques that span many disciplines. A data warehouse can be a central component of this
environment. In this paper our experience with building and using such an environment is
described. Data collection and transformation tools, machine-learning tools and testing tools
have been integrated in the MLPSE environment described here, used for steady state security
assessment of power systems. It is argued that the proposed approach can be applied to many
similar power systems analysis studies.
赣公网安备36040302000210号 )|网站地图
狗仔卡
发表于 2008-2-4 17:10:19
提升卡
置顶卡
沉默卡
喧嚣卡
变色卡
显身卡