GLOBAL SOLAR RADIATION PREDICTION MODEL WITH RANDOM FOREST ALGORITHM

被引：4
|
作者：
Kor, Hakan [1 ]
机构：
[1] Hitit Univ, Fac Engn, Dept Comp Engn, Corum, Turkey
来源：
THERMAL SCIENCE | 2021年 / 25卷
关键词：
random forest; solar radiation; prediction model; METEOROLOGICAL DATA;
D O I：
10.2298/TSCI200608004K
中图分类号：
O414.1 [热力学];
学科分类号：
摘要：
Global solar radiation estimation is crucial for regional climate assessment and crop growth. Therefore, studies on the prediction of solar radiation are emerging. With the availability of the public data on solar radiation, computerized models have been developed as well. These predictive models play signcant role in determining the potentials of regions suitable for renewable energy generation required by engineering and agricultural activities. Herein a computerized model has been presented for estimating global solar radiation. The model utilizes random forest algorithm and reached predictive value of 93.9%.
引用
收藏
页码：S31 / S39
页数：9
相关论文
共 50 条
  • [1] Random Forest based Solar Radiation Prediction
    Selvam, N.
    Subhamathi, A. S. F.
    [J]. BIOSCIENCE BIOTECHNOLOGY RESEARCH COMMUNICATIONS, 2020, 13 (04): : 1 - 4
  • [2] A novel hybrid model for hourly global solar radiation prediction using random forests technique and firefly algorithm
    Ibrahim, Ibrahim Anwar
    Khatib, Tamer
    [J]. ENERGY CONVERSION AND MANAGEMENT, 2017, 138 : 413 - 425
  • [3] Optimized Random Forest for Solar Radiation Prediction Using Sunshine Hours
    Villegas-Mier, Cesar G.
    Rodriguez-Resendiz, Juvenal
    Manuel Alvarez-Alvarado, Jose
    Jimenez-Hernandez, Hugo
    Odry, Akos
    [J]. MICROMACHINES, 2022, 13 (09)
  • [4] On a universal model for the prediction of the daily global solar radiation
    Kaplanis, S.
    Kumar, Jatin
    Kaplani, E.
    [J]. RENEWABLE ENERGY, 2016, 91 : 178 - 188
  • [5] Prediction of Permeability Using Random Forest and Genetic Algorithm Model
    Wang, Junhui
    Yan, Wanzi
    Wan, Zhijun
    Wang, Yi
    Lv, Jiakun
    Zhou, Aiping
    [J]. CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES, 2020, 125 (03): : 1135 - 1157
  • [6] A support vector machine firefly algorithm-based model for global solar radiation prediction
    Olatomiwa, Lanre
    Mekhilef, Saad
    Shamshirband, Shahaboddin
    Mohammadi, Kasra
    Petkovic, Dalibor
    Sudheer, Ch
    [J]. SOLAR ENERGY, 2015, 115 : 632 - 644
  • [7] Weather Prediction Model Using Random Forest Algorithm and GIS Data Model
    Dhamodaran, S.
    Varma, Ch Krishna Chaitanya
    Reddy, Chittepu Dwarakanath
    [J]. INNOVATIVE DATA COMMUNICATION TECHNOLOGIES AND APPLICATION, 2020, 46 : 306 - 311
  • [8] A prediction model for Xiangyang Neolithic sites based on a random forest algorithm
    Li, Linzhi
    Chen, Xingyu
    Sun, Deliang
    Wen, Haijia
    [J]. OPEN GEOSCIENCES, 2023, 15 (01)
  • [9] A Signal Strength Fluctuation Prediction Model Based on the Random Forest Algorithm
    Dohnalek, P.
    Dvorsky, M.
    Gajdos, P.
    Michalek, L.
    Sebesta, R.
    Voznak, M.
    [J]. ELEKTRONIKA IR ELEKTROTECHNIKA, 2014, 20 (05) : 123 - 126
  • [10] Development of solar radiation prediction model using minimax algorithm
    Kaplan, Yusuf Alper
    [J]. ENVIRONMENTAL PROGRESS & SUSTAINABLE ENERGY, 2024, 43 (02)
12345