Simplified model for the short-term forecasting of heat loads in buildings

被引：6
|
作者：
Eguizabal, Markel [1 ,2 ]
Garay-Martinez, Roberto [3 ]
Flores-Abascal, Ivan [2 ]
机构：
[1] Geuria Ingn & PRL, Nafarroa Kalea 19, Trapagaran 48510, Spain
[2] Univ Basque Country UPV EHU, Fac Engn Bilbao, Dept Energy Engn, ENEDI Res Grp, Ingeniero Torres Quevedo 1, Bilbao 48013, Spain
[3] Univ Deusto, Fac Engn, Inst Technol, Ave Univ 24, Bilbao 48007, Spain
来源：
ENERGY REPORTS | 2022年 / 8卷
关键词：
Regression model; Heating demand; Building; Lagged value; ENERGY DEMAND; PREDICTION; SYSTEM;
D O I：
10.1016/j.egyr.2022.10.224
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：
A data-driven model is used to predict one-hour ahead heat loads based on present and recent history of weather and heat loads. A computationally inexpensive method is built to deliver load forecasting based on existing data quality and resolution from smart meters. Optimal model formulation is discussed and optimized at 4-hour historical values. The model is trained and tested against synthetic data from a building energy simulation, resulting in absolute error <4% and R-2 values in the range of 0.92 to 0.94. (C) 2022 The Author(s). Published by Elsevier Ltd.
引用
收藏
页码：79 / 85
页数：7
相关论文
共 50 条
  • [1] Short-Term Curtailment of HVAC Loads in Buildings
    Gu, Lixing
    Raustad, Richard
    ASHRAE TRANSACTIONS 2012, VOL 118, PT 2, 2012, 118 : 467 - 474
  • [2] Hybrid Model for Short-Term Forecasting of Loads and Load Control Responses
    Koponen, Pekka
    Niska, Harri
    2016 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE EUROPE (ISGT-EUROPE), 2016,
  • [3] Neural network model for short-term and very-short-term load forecasting in district buildings
    Dagdougui, Hanane
    Bagheri, Fatemeh
    Le, Hieu
    Dessaint, Louis
    ENERGY AND BUILDINGS, 2019, 203
  • [4] Short-term electricity load forecasting of buildings in microgrids
    Chitsaz, Hamed
    Shaker, Hamid
    Zareipour, Hamidreza
    Wood, David
    Amjady, Nima
    ENERGY AND BUILDINGS, 2015, 99 : 50 - 60
  • [5] Residual BiLSTM based hybrid model for short-term load forecasting in buildings
    Han, Jiacai
    Zeng, Pan
    JOURNAL OF BUILDING ENGINEERING, 2025, 99
  • [6] A SHORT-TERM FORECASTING-MODEL
    FRIEND, I
    TAUBMAN, P
    REVIEW OF ECONOMICS AND STATISTICS, 1964, 46 (03) : 229 - 236
  • [7] A SHORT-TERM FORECASTING MODEL FOR KOREA
    KIM, MJ
    NORTON, RD
    ECONOMETRICA, 1968, 36 (5S) : 11 - &
  • [8] Evolving Smart Meter Data Driven Model for Short-Term Forecasting of Electric Loads
    Niska, Harri
    Koponen, Pekka
    Mutanen, Antti
    2015 IEEE TENTH INTERNATIONAL CONFERENCE ON INTELLIGENT SENSORS, SENSOR NETWORKS AND INFORMATION PROCESSING (ISSNIP), 2015,
  • [9] A Novel Approach for Short-Term Energy Forecasting in Smart Buildings
    Jayashankara, M.
    Shah, Priyansh
    Sharma, Anshul
    Chanak, Prasenjit
    Singh, Sanjay Kumar
    IEEE SENSORS JOURNAL, 2023, 23 (05) : 5307 - 5314
  • [10] Short-term load forecasting in non-residential Buildings
    Penya, Yoseba K.
    Borges, Cruz E.
    Fernandez, Ivan
    IEEE AFRICON 2011, 2011,
12345