The Application of Text Analytics in Electric Power Dispatching

Text analytics has been widely used in many different domains to discover valuable knowledge hidden inside a specific text. In terms of power dispatching, a manual always contains a large amount of unstructured data, which makes it a tough job for dispatchers to remember and understand that information. This paper addresses the above problems by adopting text analytics. Based on the idea of Natural Language Processing, a series of key technologies are adopted to do the text analyzing job such as data structure transformation, efficient word segmentation tools for Chinese and Word2Vec calculation, which are helpful for dispatchers to deal with the dispatching manual.