Intelligent model for reservoir operation through data mining-A Case study

• Published in: Journal of physics. Conference series 2021-10, Vol.2040 (1), p.12032
• Main Authors: Ramani Bai Gopinath, V, Mohan, S, Kangadharan, G, Chun Kit, A, Varadarajan, P
• Format: Article
• Language: English
• Subjects: Fuzzy logic control; Fuzzy logic toolbox; Fuzzy models; Takagi-Sugeno (TSK) fuzzy model; Vaigai reservoir
• ISSN: 1742-6588; 1742-6596
• DOI: 10.1088/1742-6596/2040/1/012032

Classical discrete mathematics could not model complex and uncertain systems effectively. These discrete mathematical equations can be replaced by a method of fuzzy logic systems wherein the operational laws are expressed in linguistic terms. Fuzzy logic means it is the form of knowledge acquisition to be suitable for notions that cannot be defined as precisely as discrete mathematics would do. But it depends upon their context, knowledge acquisition to enable the computerized devices to think like humans. The Matlab was employed to develop the operation model of the Vaigai reservoir which is in South India. Fuzzy logic control was successfully found to be a logical way for mapping between input and output variables of the operation of a reservoir. The objective of the study was to capture the experience gained over past years of operation of the Vaigai system so that the experiential knowledge was made available to the operator for assisting him inefficient management of the reservoir. The data mining helped to develop an improved database for heuristic models such as the non-crisp model for deriving an effective monthly operational policy for Vaigai reservoir.