Optimal Reservoir Operation Using Fuzzy Logic with Clustering Method
سال انتشار: 1390
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 1,199
فایل این مقاله در 12 صفحه با فرمت PDF قابل دریافت می باشد
- 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:
NCHP03_120
تاریخ نمایه سازی: 3 فروردین 1391
چکیده مقاله:
In this study a Fuzzy Based Model using a Non-Linear Programming to obtain optimal reservoir operation for irrigation of multiple crops is proposed. The reservoir level Fuzzy logic model can extract important features of the system from the inputoutput data set by Non-Linear Programming and represents features as general operating rules. The developed model can serve not only as efficient decision making tool in easy and understandable Fuzzy Inference Systems but also can provide operators with a limited number of the most meaningful operating rules usingClustering-Based approach. The model is set properly in a yearly base and monthlysteps. Results show that the changing trend of water releases in both models is the same with R2 = 0.97. Over the 12 months period, both trends had risen from October to May but since then they had fallen gradually. In general the amount of annual released water in Fuzzy model is almost less than NLP, especially in competitive months, May and June. The percentage of water deficit to the percentage of annual mean water deficit was respectively 0.57 and 0.81 in training and 0.93 and 1.145 in the test stage. The findings suggest that in the year with water deficit the amount of water release in competitive months to increase the Net Benefit should be more considered.
کلیدواژه ها:
نویسندگان
M Hosseinpourtehrani
Former Graduate student of Water Structures, Department of Water, Faculty of Agriculture
B. Ghahraman
Professor, Department of Water, Faculty of Agriculture, Ferdowsi University of Mashhad
مراجع و منابع این مقاله:
لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :