ANFIS Model for the Time Series Prediction of Interior Daylight Illuminance

Kurian, Ciji Pearl and George, V I and Bhat, Jayadev and Aithal, Radhakrishna S (2006) ANFIS Model for the Time Series Prediction of Interior Daylight Illuminance. International Journal on Artificial Intelligence and Machine Learning, 6 (3). pp. 35-40. ISSN 1687-4854

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The increasing need for more energy sensitive and adaptive systems for building lighting control has encouraged the use of more precise and delicate computational models. This paper presents a time series prediction model for daylight interior illuminance obtained using Adaptive neuro fuzzy inference system (ANFIS). Here the training data is collected by simulation, using the globally accepted lighting software Desktop Radiance. The model developed is suitable for adaptive predictive control of daylight - artificial light integrated schemes incorporating dimming and window shading control. Matlab’s Fuzzy logic Tool box is used for the simulations.

Item Type: Article
Uncontrolled Keywords: ANFIS, Time series prediction, Daylight interior illuminance, Auto regression model, daylight factor, Automatic control, daylight artificial light integrated scheme, desktop radiance.
Subjects: Engineering > MIT Manipal > Electrical and Electronics
Depositing User: MIT Library
Date Deposited: 08 Sep 2011 11:11
Last Modified: 08 Sep 2011 11:11

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