Online ISSN: 2515-8260

Keywords : Distributed Energy Sources

A Pilot Survey Of Machine Learning Techniques In Smart Grid Operations Of Power Systems

Dr. Shafali Jain; Ravi Prasad. B; Dr. C. Ashok kumar; Dr Mohan Dattu Sangale; E. Fantin Irudaya Raj

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 7, Pages 203-210

The smart grid discusses to next generation power grids, with multi-directional streams of electricity and evidence to make aextensive distributed network. Through smart grid, the power system converts smart by communicating, sensing, control and applying intelligence. For superlative system, the smart grid technologies are furthercompanionable to certify many roles which can elevate with the amalgamation of the use of substance generation and transmission. The Smart grid is also kept the environment free from pollution; diminish the cost, effective operations, against all categories of threats and danger. Machine learning process isthe calculations which help in information handling to discover concealed examples or the forecast of results. The target of this archive is to look at the most utilized strategies of machine learning, for example, Vector Machine Backing, Descriptive Discriminant Analysis, Decision Trees what's more, Neural Networks, in Smart Grid applications. To this end, an examination is done in important distributions of the current writing.