Long-term peak electricity load forecasting in Taiwan: A cointegration analysis

被引:0
|
作者
Chung-Hua Inst for Economic Research, Taipei, Taiwan [1 ]
机构
来源
Pac Asian J Energy | / 1卷 / [d]63-74期
关键词
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [21] LONG-TERM RESIDENTIAL LOAD FORECASTING.
    Anon
    1978, (584):
  • [22] Long-term load forecasting for smart grid
    Kumar, Vikash
    Mandal, Rajib Kumar
    ENGINEERING RESEARCH EXPRESS, 2024, 6 (04):
  • [23] Forecasting long-term electricity demand in the residential sector
    Moreira Pessanha, Jose Francisco
    Leon, Nelson
    3RD INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND QUANTITATIVE MANAGEMENT, ITQM 2015, 2015, 55 : 529 - 538
  • [24] A hierarchical hybrid neural model with time integrators in long-term peak-load forecasting
    Carpinteiro, OAS
    Leme, RC
    de Souza, ACZ
    Quintanilha, PS
    Proceedings of the International Joint Conference on Neural Networks (IJCNN), Vols 1-5, 2005, : 2960 - 2965
  • [25] Long-term forecasting of annual peak load considering effects of demand-side programs
    Nikola Lj.RAJAKOVIC
    Vladimir M.SHILJKUT
    Journal of Modern Power Systems and Clean Energy, 2018, 6 (01) : 145 - 157
  • [26] Long-term forecasting of annual peak load considering effects of demand-side programs
    Rajakovic, Nikola Lj.
    Shiljkut, Vladimir M.
    JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 2018, 6 (01) : 145 - 157
  • [27] Long-term energy demand forecasting and planning in Taiwan
    Bor, YJ
    Liu, SM
    Jan, HK
    Chou, FY
    ENERGY AND ECONOMIC GROWTH: IS SUSTAINABLE GROWTH POSSIBLE?, VOLS 1-3, 1997, : 305 - 315
  • [28] Electricity demand analysis and forecasting: A panel cointegration approach
    El-Shazly, Alaa
    ENERGY ECONOMICS, 2013, 40 : 251 - 258
  • [29] Hybrid LSTM-BPNN-to-BPNN Model Considering Multi-Source Information for Forecasting Medium- and Long-Term Electricity Peak Load
    Jin, Bingjie
    Zeng, Guihua
    Lu, Zhilin
    Peng, Hongqiao
    Luo, Shuxin
    Yang, Xinhe
    Zhu, Haojun
    Liu, Mingbo
    ENERGIES, 2022, 15 (20)
  • [30] A Review of Methods for Long-Term Electric Load Forecasting
    Aditya, Thangjam
    Jaipuria, Sanjita
    Kumar Dadabada, Pradeep
    Journal of Forecasting, 2024,