Forecast of solar energy resource by using neural network methods

被引：0
|
作者：
Fiorin, Daniel V. [1 ]
Martins, Fernando R. [2 ]
Schuch, Nelson J. [1 ]
Pereira, Enio B. [2 ]
机构：
[1] Inst Nacl Pesquisas Espaciais, Ctr Reg Sul Pesquisas Espaciais, Santa Maria, RS, Brazil
[2] Inst Nacl Pesquisas Espaciais, Ctr Ciencia Sistema Terrestre, Sao Jose Dos Campos, SP, Brazil
来源：
REVISTA BRASILEIRA DE ENSINO DE FISICA | 2011年 / 33卷 / 01期
关键词：
solar energy; artificial neural networks; atmospheric modeling; numeric mesoscale models; RADIATION; MODEL; MM5;
D O I：
暂无
中图分类号：
G40 [教育学];
学科分类号：
040101 ; 120403 ;
摘要：
This work aims at discussing the artificial neural networks (ANN) and some applications in renewable energy assessment. First, the paper describes the statistical relevance of this tool in different areas of knowledge and the main ANN concepts and configurations. Finally, the paper presents and discusses the use of ANN for the solar energy assessment in Brazil by using data collected in SONDA sites operated by the Center for Earth System Science of the Brazilian Institute for Space Research. The results show that ANN can provide reliable estimates with better performance than other statistical tools.
引用
收藏
页数：20
相关论文
共 50 条
  • [31] An ensemble of artificial neural network models to forecast hourly energy demand
    Manno, Andrea
    Intini, Manuel
    Jabali, Ola
    Malucelli, Federico
    Rando, Dario
    OPTIMIZATION AND ENGINEERING, 2024, 25 (04) : 2315 - 2343
  • [32] Evolutionary Neural Network Based Energy Consumption Forecast for Cloud Computing
    Foo, Yong Wee
    Goh, Cindy
    Lim, Hong Chee
    Zhan, Zhi-Hui
    Li, Yun
    2015 INTERNATIONAL CONFERENCE ON CLOUD COMPUTING RESEARCH AND INNOVATION (ICCCRI), 2015, : 53 - 64
  • [33] Context Classification in Energy Resource Management of Residential Buildings using Artificial Neural Network
    Madureira, Bruno
    Pinto, Tiago
    Fernandes, Filipe
    Vale, Zita
    Ramos, Carlos
    PROCEEDINGS OF THE 2017 INTELLIGENT SYSTEMS CONFERENCE (INTELLISYS), 2017, : 225 - 233
  • [34] Micro-Grid Development Using Artificial Neural Network for Renewable Energy Forecast and System Control
    Ronay, Karoly
    Bica, Dorin
    Munteanu, Calin
    10TH INTERNATIONAL CONFERENCE INTERDISCIPLINARITY IN ENGINEERING, INTER-ENG 2016, 2017, 181 : 818 - 823
  • [35] Forecast of paroxysmal atrial fibrillation using a deep neural network
    Gilon, Cedric
    Gregoire, Jean-Marie
    Bersini, Hugues
    2020 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2020,
  • [36] Financial Time Series Forecast Using Neural Network Ensembles
    Tarsauliya, Anupam
    Kala, Rahul
    Tiwari, Ritu
    Shukla, Anupam
    ADVANCES IN SWARM INTELLIGENCE, PT I, 2011, 6728 : 480 - 488
  • [37] Investigation of using regression analysis and artificial neural network methods in estimate of solar radiation
    Deniz, Emrah
    Atik, Kemal
    ISI BILIMI VE TEKNIGI DERGISI-JOURNAL OF THERMAL SCIENCE AND TECHNOLOGY, 2007, 27 (02) : 15 - 20
  • [38] Operation Method of Microgrid Using the Forecast Method by Neural Network
    Koyama, Masayoshi
    Takeda, Takashi
    Yukita, Kazuto
    Goto, Yasuyuki
    Ichiyanagi, Katsuhiro
    Goda, Tadahiro
    2015 IEEE INTERNATIONAL TELECOMMUNICATIONS ENERGY CONFERENCE (INTELEC), 2015,
  • [39] Passenger Flow Forecast Using Wavelet Neural Network Model
    Chen, Changkun
    Xin, Mengyang
    PROCEEDINGS OF THE 2015 4TH INTERNATIONAL CONFERENCE ON COMPUTER, MECHATRONICS, CONTROL AND ELECTRONIC ENGINEERING (ICCMCEE 2015), 2015, 37 : 375 - 380
  • [40] Short Term Load Forecast Using Wavelet Neural Network
    Gui Min
    Electricity, 2005, (01) : 25 - 29
12345