Abstract

Energy prosumer can not only save on electrical bills but also make profits by selling energy produced. To develop online prosumer platform, this paper present database structure of each prosumer system(Photovoltaic system, Energy Storage System, Wind power system, EV Charger system). The cause of abnormalities in prosumer facilities and designed the database and developed the reference model by big data measured from the hardware. The data was preprocessed all values from the acquired data between 0 and 1 and training set and test set generated for the data transposition process. For applied AI algorithms, this paper adapted DNN(Deep Neural Network) method. This paper used Precision, Recall, Accuracy, F1-score. The result of experiment is high value of each expression. Recall value is high values and this expression is important to safety area focus. This database structure will provide online prosumer platform system and batter prediction safety system.

Highlights

  • A prosumer is a customer who want to buy high-quality products or equipment

  • This paper, we present data structure of prosumer system for online platform

  • We analyze the causes of abnormalities in prosumer facilities and designed the database and developed the reference model by big data measured from the hardware

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Summary

Introduction

A prosumer is a customer who want to buy high-quality products or equipment. The word is formed from “producer” and “consumer”. Energy prosumer can save on electrical bills and make profits by selling energy produced [1~5]. This system require power transactions between individual producers. In order to operate the platform, it is important to transfer online data from the prosumer facilities [6~8]. We analyze the causes of abnormalities in prosumer facilities and designed the database and developed the reference model by big data measured from the hardware. 2. Database design and development for data analysis In order to analyze the cause of abnormalities in the prosumer systems, it needs reference model from data with hardware. 3. Prosumer data classification criteria In this paper, the safety standard of prosumer facilities were defined through the technical standard and regulations for electrical equipment. The classification criteria for each prosumer facility are as follows

A Study on database structure of prosumer system for online analysis
Results and Discussion
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