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@article{176952,
        author = {M.DHANA VAMSI and K.SAI TEJASWINI},
        title = {Developing a robust Hydraulic Transients Analysis Model for Hydro Power and Pumped Storage Schemes},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {7855-7859},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=176952},
        abstract = {Hydraulic transients, or water hammer effects, caused sudden changes in water flow, can lead to serious issues like pressure surges, equipment damage, and pressure surges, equipment damage, and operational inefficiencies in hydrapower and pumped storage systems. Existing models often fall short in accurately simulating these dynamic events, especially during scenarios like sudden shutdowns or load changes. There is a need for a more advanced and adaptable model that leverages computational fluid dynamics (CFD) to simulate complex transient behaviours, optimize guide vane closure timing, and provide visual insights, into pressure and flow patterns. Such a model would enhance the safety, resilience, and performance of diverse hydropower systems.},
        keywords = {Hydraulic Transients, Machine learning, XG- Boost, Random Forest, Hydro Power, pumped storage, pressure Fluctuation Prediction, Python, Real- Time monitoring.},
        month = {May},
        }