Research on Curve Decomposition Method of Unit Contracts for Differences Based on Data Mining

Autor:	Heng Feng, Xiaojun Cao, Qingqi Chen, Chaochun Luo, Wenyuan Huang
Rok vydání:	2021
Předmět:	Artificial neural network Settlement (structural) business.industry Computer science computer.software_genre Unit (housing) Electric power system Empirical research Decomposition (computer science) Decomposition method (queueing theory) Electricity Data mining business computer
Zdroj:	2021 International Conference on Control Science and Electric Power Systems (CSEPS).
DOI:	10.1109/cseps53726.2021.00033
Popis:	Aiming at the problem that the decomposition results of curve CFDs based on optimization and empirical methods are not very convincing, this paper proposes a data mining-based method for unit CFD curve decomposition. Establish a historical case database based on historical data. The neural network is used to build a model case library to make up for the gaps in historical scenes. Based on the establishment of the case library, the monthly contract electricity amount is broken down into the settlement period by case-based reasoning. This method simplifies the decomposition process, improves the calculation speed, and has certain popularization significance.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::8fba0dd79a68e5a12950a287e18e89f7 https://doi.org/10.1109/cseps53726.2021.00033 Zobrazit plný text záznamu