Feature and model selection for day-ahead electricity-load forecasting in residential buildings

被引：0
|
作者：
Kychkin, Aleksey V. [1 ]
Chasparis, Georgios C. [2 ]
机构：
[1] Department of Information Technologies in Business, National Research University Higher School of Economics, Studencheskaya 38, Perm,614070, Russia
[2] Software Competence Center Hagenberg GmbH, Softwarepark 32a, Hagenberg,A-4232, Austria
来源：
Energy and Buildings | 2021年 / 249卷
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Housing
引用
收藏
相关论文
共 50 条
  • [31] DAY-AHEAD ELECTRICITY PRICE FORECASTING: LITHUANIAN CASE
    Bobinaite, Viktorija
    ELECTRICAL AND CONTROL TECHNOLOGIES, 2011, : 169 - 174
  • [32] Day-ahead electricity price forecasting in a grid environment
    Li, Guang
    Liu, Chen-Ching
    Mattson, Chris
    Lawarree, Jacques
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2007, 22 (01) : 266 - 274
  • [33] Electricity price forecasting for PJM day-ahead market
    Mandal, Paras
    Senjyu, Tomonobu
    Urasaki, Naomitsu
    Funabashi, Toshihisa
    Srivastava, Anurag K.
    2006 IEEE/PES POWER SYSTEMS CONFERENCE AND EXPOSITION. VOLS 1-5, 2006, : 1321 - +
  • [34] Forecasting day-ahead electricity prices with spatial dependence
    Yang, Yifan
    Guo, Ju'e
    Li, Yi
    Zhou, Jiandong
    INTERNATIONAL JOURNAL OF FORECASTING, 2024, 40 (03) : 1255 - 1270
  • [35] Day-Ahead Electricity Market Forecasting using Kernels
    Kekatos, Vassilis
    Veeramachaneni, Sriharsha
    Light, Marc
    Giannakis, Georgios B.
    2013 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES (ISGT), 2013,
  • [36] Deep learning for day-ahead electricity price forecasting
    Zhang, Chi
    Li, Ran
    Shi, Heng
    Li, Furong
    IET SMART GRID, 2020, 3 (04) : 462 - 469
  • [37] Day-Ahead Price Forecasting for the Spanish Electricity Market
    Romero, Alvaro
    Ramon Dorronsoro, Jose
    Diaz, Julia
    INTERNATIONAL JOURNAL OF INTERACTIVE MULTIMEDIA AND ARTIFICIAL INTELLIGENCE, 2019, 5 (04): : 42 - 50
  • [38] Forecasting day-ahead electricity load using a multiple equation time series approach
    Clements, A. E.
    Hurn, A. S.
    Li, Z.
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2016, 251 (02) : 522 - 530
  • [39] Combining PSO-SVR and Random Forest Based Feature Selection for Day-ahead Peak Load Forecasting
    Zhai, Huachao
    Che, Jinxing
    ENGINEERING LETTERS, 2022, 30 (01) : 201 - 207
  • [40] A compositional kernel based gaussian process approach to day-ahead residential load forecasting
    Dab, Khansa
    Agbossou, Kodjo
    Henao, Nilson
    Dube, Yves
    Kelouwani, Sousso
    Hosseini, Sayed Saeed
    ENERGY AND BUILDINGS, 2022, 254
12345