A Hybrid Method for Hour-ahead PV Output Forecast with Historical Data Clustering

IF 1.3 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS

IET Networks Pub Date : 2022-10-14 DOI:10.1109/IET-ICETA56553.2022.9971576

Nuttapat Jittratorn, G. Chang, Guan-Yi Li

引用次数: 0

Abstract

An accurate forecast of the photovoltaic (PV) output can indispensably enhance the stability of power supply. However, the effectiveness of prediction results highly depends on many factors and the data preparations are also an essential process to be considered. The focus of this paper is to classify PV data types by density-based spatial clustering of applications with noise (DBSCAN). Then, the procedure for historical data clustering and for hour-ahead PV output forecast implemented by back propagation neural network (BPNN) model is present. Forecasted results show that data clustering provided by DBSCAN can efficiently classify the PV data types for input to BPNN to achieve better accuracy.

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具有历史数据聚类的小时前光伏产量预测混合方法

准确预测光伏发电出力对提高电力系统的稳定性具有不可缺少的作用。然而，预测结果的有效性在很大程度上取决于许多因素，数据准备也是一个必须考虑的过程。本文的重点是利用基于密度的带噪声应用空间聚类(DBSCAN)对光伏数据类型进行分类。然后，给出了历史数据聚类和基于反向传播神经网络(BPNN)模型的小时前光伏发电量预测过程。预测结果表明，DBSCAN提供的数据聚类可以有效地对输入到BPNN的PV数据类型进行分类，达到较好的准确率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IET Networks COMPUTER SCIENCE, INFORMATION SYSTEMS-

CiteScore

5.00

自引率

0.00%

发文量

审稿时长

33 weeks

期刊介绍： IET Networks covers the fundamental developments and advancing methodologies to achieve higher performance, optimized and dependable future networks. IET Networks is particularly interested in new ideas and superior solutions to the known and arising technological development bottlenecks at all levels of networking such as topologies, protocols, routing, relaying and resource-allocation for more efficient and more reliable provision of network services. Topics include, but are not limited to: Network Architecture, Design and Planning, Network Protocol, Software, Analysis, Simulation and Experiment, Network Technologies, Applications and Services, Network Security, Operation and Management.

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