Author:
Popoola Olawale M.,Munda Josiah,Mpanda Augustine
Publisher
Springer Science and Business Media LLC
Reference27 articles.
1. Apolinário, I., Correia De Barros, C., Coutinho, H., Ferreira, L., Madeira, B., Oliveira, P., Tavares, A., Trindade, A., Verdelho, P. (2009). Behavioural factors’ influence on energy savings. 20th International Conference on Electricity Distribution, Prague, 8–11.
2. Aries, M. B. C., & Newsha, G. R. (2008). Effect of daylight saving time on lighting energy use: a literature review. Energy Policy, 36, 1858–1866.
3. Aydinalp, M., Ugursal, V. I., & Fung, A. S. (2002). Modeling of the appliance, lighting, and space-cooling energy consumptions in the residential sector using neural networks. Applied Energy, 71, 87–110.
4. Bonissone, P. P. (2002). Adaptive neural fuzzy inference systems (ANFIS): analysis and applications.
http://www.homepages.rpi.edu/~bonisp?fuzzy-course/Papers-pdf/anfis.rpi04.pdf
5. Chang, F., & Chang, Y. (2006). Adaptive neuro-fuzzy system for prediction of water level in reservoir. Advances in Water Resources, 29, 1–10.
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