Big Data Aggregation, Visualization and Clustering for Smart Grid in Smart City using Machine Learning | ||
| IRAQI JOURNAL OF COMPUTERS, COMMUNICATIONS, CONTROL AND SYSTEMS ENGINEERING | ||
| Articles in Press, Accepted Manuscript, Available Online from 30 March 2023 | ||
| Document Type: Research Paper | ||
| Author | ||
| Haider M. Al-Mashhadi* | ||
| Computer Information systems, College of IT, University of Basrah, Basrah, Iraq. | ||
| Abstract | ||
| Electrical energy is one of the most important components of life today. Where other fields such as industry, agriculture and others depend on it. The field of electrical energy distribution (electricity network), which transmits electrical energy from sources to consumers, is one of the most important areas that need to be developed and improved. In addition to analyzing electrical energy consumption, it needs to forecast consumption and determine consumer behavior in terms of consumption and how to balance supply and demand. The research aims to analyze weather data and find the relation between the weather factors and energy consumption in order to prepare data to use as a suitable data in machine learning model for future use. This model analyzes the building consumption rate for a particular area and takes into account the weather factors that affect electrical energy consumption, where (temperature, dew point, UV index) are selects based on the correlation confidence and then divided these factors into a set of categories using the K-Means algorithm to show the effect of each factors on the other. | ||
| Keywords | ||
| Big data,,; ,،,؛IoT,,; ,،,؛smart city,,; ,،,؛smart grid,,; ,،,؛smart meter | ||
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