Confidence Interval Estimation of Apparent Residential Load with PV System Based on Just-In-Time Modeling

被引：0
|
作者：
Katsuragawa, Mako [1 ]
Wakao, Shinji [1 ]
机构：
[1] Waseda Univ, Dept Elect Engn & Biosci, Shinjuku Ku, 3-4-1 Ohkubo, Tokyo 1698555, Japan
来源：
2019 IEEE 46TH PHOTOVOLTAIC SPECIALISTS CONFERENCE (PVSC) | 2019年
关键词：
Apparent residential load; Confidence interval estimation; PV output estimation; Residential load estimation; Just-In-Time modeling;
D O I：
10.1109/pvsc40753.2019.8980670
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
In Japan, a number of residences have introduced PV system after the Feed-in-tariff program started in 2009. After the program is over, households that consume PV power by themselves instead of selling it will increase. With this backdrop, in this paper, we perform the confidence interval estimation of the next-day apparent residential load, i.e., the difference amount between the actual residential load and PV output, with Just-In-Time modeling. Some numerical examples, which demonstrate the validity of the proposed method, are presented.
引用
收藏
页码：1615 / 1620
页数：6
相关论文
共 50 条
  • [41] Developing multifruit global near-infrared model to predict dry matter based on just-in-time modeling
    Mishra, Puneet
    JOURNAL OF CHEMOMETRICS, 2024, 38 (04)
  • [42] FENSE: A feature-based ensemble modeling approach to cross-project just-in-time defect prediction
    Zhang, Tanghaoran
    Yu, Yue
    Mao, Xinjun
    Lu, Yao
    Li, Zhixing
    Wang, Huaimin
    EMPIRICAL SOFTWARE ENGINEERING, 2022, 27 (07)
  • [43] FENSE: A feature-based ensemble modeling approach to cross-project just-in-time defect prediction
    Tanghaoran Zhang
    Yue Yu
    Xinjun Mao
    Yao Lu
    Zhixing Li
    Huaimin Wang
    Empirical Software Engineering, 2022, 27
  • [44] Fractional stochastic configuration networks-based nonstationary time series prediction and confidence interval estimation
    Wang, Jing
    Wang, Jian Qi
    Chen, Yang Quan
    Zhang, Yan Zhu
    EXPERT SYSTEMS WITH APPLICATIONS, 2022, 192
  • [45] Traffic Flow Series Outlier Detection Based on Time Series Pattern Extraction and Confidence Interval Estimation
    Zhang, Weihua
    Liang, Cheng
    Nie, Qinghui
    Yang, Bin
    Han, Bing
    CICTP 2020: TRANSPORTATION EVOLUTION IMPACTING FUTURE MOBILITY, 2020, : 750 - 763
  • [46] Estimation of Confidence-Interval for Yearly Electricity Load Consumption Based on Fuzzy Random Auto-Regression Model
    Efendi, Riswan
    Arbaiy, Nureize
    Deris, Mustafa Mat
    COMPUTATIONAL INTELLIGENCE IN INFORMATION SYSTEMS, CIIS 2016, 2017, 532 : 15 - 26
  • [47] Adaptive Modeling of Fixed-Bed Reactors with Multicycle and Multimode Characteristics Based on Transfer Learning and Just-In-Time Learning
    Guo, Jingjing
    Du, Wenli
    Nascu, Ioana
    INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2020, 59 (14) : 6629 - 6637
  • [48] Dynamic just-in-time learning based model predictive control for variable pitch wind energy conversion system
    Yang, Wei
    Jia, Li
    Zhou, Chengyu
    Xu, Yue
    JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY, 2022, 14 (06)
  • [49] Area day-ahead photovoltaic power prediction by just-in-time modeling with meso-scale ensemble prediction system
    Mori, Yusuke
    Wakao, Shinji
    Ohtake, Hideaki
    Takamatsu, Takahiro
    Oozeki, Takashi
    ELECTRICAL ENGINEERING IN JAPAN, 2023, 216 (03)
  • [50] Area Day-ahead Photovoltaic Power Prediction by Just-In-Time Modeling with Meso-scale Ensemble Prediction System
    Mori Y.
    Wakao S.
    Ohtake H.
    Takamatsu T.
    Oozeki T.
    IEEJ Transactions on Power and Energy, 2023, 143 (01) : 16 - 24
12345