Adaptation of selected aspects of deterministic chaos for long-term forecasts of peak power demand for Poland

被引:1
|
作者
Poplawski, Tomasz [1 ]
Calus, Dariusz [1 ]
机构
[1] Politech Czestochowska, Wydzial Elekt, Inst Elektroenergetyki, Al Armii Krajowej 17, PL-42200 Czestochowa, Poland
来源
PRZEGLAD ELEKTROTECHNICZNY | 2018年 / 94卷 / 12期
关键词
electrical power engineering; peak power demand; long-term forecast; deterministic chaos theory;
D O I
10.15199/48.2018.12.18
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The paper presents an innovative technique of constructing long-term forecasts of peak power demand and gross electrical energy demand for an entire country on the example of Poland. The method is based on the Canonical Distribution of the Vector of Random Variables Model (CDVRM). The study also focuses on the problem of choosing the optimum explanatory variables scenarios for forecasting models. The concept of using elements of the deterministic chaos theory based on Pregogine's logistic equation has also been described. The ideas discussed have been verified in the process of making long-term forecasts for Poland up to the year 2040.
引用
收藏
页码:79 / 85
页数:7
相关论文
共 50 条
  • [21] Household Forecasts for the Planning of Long-Term Domestic Water Demand: Application to London and the Thames Valley
    Rees, Philip
    Clark, Stephen
    Nawaz, Rizwan
    POPULATION SPACE AND PLACE, 2020, 26 (02)
  • [22] On the long-term density prediction of peak electricity load with demand side management in buildings
    Jang, Youngchan
    Byon, Eunshin
    Jahani, Elham
    Cetin, Kristen
    ENERGY AND BUILDINGS, 2020, 228
  • [23] Long-term natural gas peak demand forecasting in Tunisia Using machine learning
    Ben Brahim, Sami
    Slimane, Mohamed
    PROCEEDINGS OF THE 2022 5TH INTERNATIONAL CONFERENCE ON ADVANCED SYSTEMS AND EMERGENT TECHNOLOGIES IC_ASET'2022), 2022, : 222 - 227
  • [24] Determinants of Demand for Private Long-Term Care Insurance (Empirical Evidence from Poland)
    Jurek, Lukasz
    Wolanska, Wioletta
    RISKS, 2021, 9 (01) : 1 - 15
  • [25] Long-term forecasting of electric power demand using grey theory
    Gang, Xiong
    Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University, 1993, 27 (05):
  • [26] Genetic programming model for long-term forecasting of electric power demand
    Lee, DG
    Lee, BW
    Chang, SH
    ELECTRIC POWER SYSTEMS RESEARCH, 1997, 40 (01) : 17 - 22
  • [27] Long-Term Model of Selected Air Pollutants Influence on the Cough Incidence in Warsaw (Poland)
    Badyda, A. J.
    Dabrowiecki, P.
    Czechowski, P. O.
    Chcialowski, A.
    AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2019, 199
  • [28] Evidence for deterministic chaos in aperiodic oscillations of proliferative activity in long-term cultured Fao hepatoma cells
    Wolfrom, C
    Chau, NP
    Maigné, J
    Lambert, JC
    Ducot, B
    Guerroui, S
    Deschatrette, J
    JOURNAL OF CELL SCIENCE, 2000, 113 (06) : 1069 - 1074
  • [29] Long-term wind and solar energy generation forecasts, and optimisation of Power Purchase Agreements
    Mesa-Jimenez, J. J.
    Tzianoumis, A. L.
    Stokes, L.
    Yang, Q.
    Livina, V. N.
    ENERGY REPORTS, 2023, 9 : 292 - 302
  • [30] Medium- and Long-Term Wind-Power Forecasts, Considering Regional Similarities
    Wang, Xianxun
    Liu, Yaru
    Hou, Jiachen
    Wang, Suoping
    Yao, Huaming
    ATMOSPHERE, 2023, 14 (03)