Advanced quantitative analysis methods for water consumption forecasting
سال انتشار: 1388
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 1,722
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
این مقاله در بخشهای موضوعی زیر دسته بندی شده است:
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
ICAWTR01_162
تاریخ نمایه سازی: 20 اردیبهشت 1390
چکیده مقاله:
Using the accumulated data due to the water consumption of Tehran in the last 17 years, neural network techniques and regression methods are developed. The final effective model is achieved using and running different models that help to predict the consumption amount for the coming 12 months. The achieved results are showing that consumption rate will be increased. So attending the reserve and water consumption management in the coming years seems to be inevitable.
کلیدواژه ها:
نویسندگان
I Jahan Andish
Industrial Engineering Department, University College of Engineering, University of Tehran, Tehran, Iran
A Derakhshani
Industrial Engineering Department, University College of Engineering, University of Tehran, Tehran, Iran
A Keramati
Industrial Engineering Department, University College of Engineering, University of Tehran, Tehran, Iran