• DocumentCode
    2506412
  • Title

    An availability of sky luminance in tropical climate to standard voltages conversion by using Artificial Neural Network

  • Author

    Pattanasethanon, Singthong

  • Author_Institution
    Fac. of Eng., Mahasarakham Univ., Mahasarakham, Thailand
  • fYear
    2009
  • fDate
    28-30 Sept. 2009
  • Firstpage
    438
  • Lastpage
    441
  • Abstract
    In this paper, a new technique which converts an availability of sky luminance in tropical climate to standard voltage (0-10 Volt) was proposed. This new conversion system will permit proportional electrical power of equipments or instruments to the sky condition. The system consists of Light Dependent Resistor (LDR), Microcomputer, and Amplifier circuit. While the system is operating, LDRs would detect the sky type (Sky Ratio: Eed/Eeg). The detector network will then display an output voltage. In order to load input signal into a sound card, commands from MATLAB Version 7.0 program is performed. At the same time, the trained Artificial Neural Networks (ANN) predicts the solar quantity when the appearance of solar altitude angle and sky condition is at the input of the ANN. The lamp of 12 V, S Watt is under the experiment control. The results indicate that the relationship of the power on load against sky luminance is consistence with the directed proportion between 0-3 Volts. However, the system shows 9.87% error.
  • Keywords
    artificial intelligence; direct energy conversion; neural nets; power engineering computing; MATLAB Version 7.0 program; amplifier circuit; artificial neural network; light dependent resistor; microcomputer; power 5 W; sky condition; sky luminance; solar altitude angle; solar quantity; standard voltages conversion; voltage 0 V to 10 V; voltage 12 V; Artificial neural networks; Circuits; Detectors; Displays; Electroencephalography; Instruments; MATLAB; Microcomputers; Resistors; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Information Technology, 2009. ISCIT 2009. 9th International Symposium on
  • Conference_Location
    Icheon
  • Print_ISBN
    978-1-4244-4521-9
  • Electronic_ISBN
    978-1-4244-4522-6
  • Type

    conf

  • DOI
    10.1109/ISCIT.2009.5341210
  • Filename
    5341210