• Nidhi Trivedi
• Prof. P.S.Ramanuj

Reservoir is a physical structure such as pond or lake naturally or artificially developed to store and regulates the water. Reservoir dam is one of the defense appliance for both flood and drought calamities. The reservoir water level forecasting has been significant in the reservoir management and water resources. For many years, reservoir water level approximation was based on operator’s experience, mathematical model and curves. In recent times Artificial intelligence methods such as Adaptive Neuro Fuzzy Inference System (ANFIS) are used in many hydrological characteristics such as forecasting and classification parameters. The advantage of ANFIS methods is that they can manage dynamic, non-linear and noisy data, especially when the fundamental physical relations are very complex and not fully understood. These methods also provide fast, consistent and low-cost solutions. This is a literature review based paper aims at studying various researches already done in the field of ANFIS in reservoir water level forecasting.

Reservoir level, forecasting, Adaptive Neuro Fuzzy Inference System

"Forecasting Reservoir Water Level Using Adaptive Neuro Fuzzy Inference System - A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.132-136, January-2019, Available :http://www.jetir.org/papers/JETIR1901920.pdf

"Forecasting Reservoir Water Level Using Adaptive Neuro Fuzzy Inference System - A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp132-136, January-2019, Available at : http://www.jetir.org/papers/JETIR1901920.pdf