Priti Priti
Papers
1
Total Citations
5
H-Index
1
About
Priti Priti is a rising researcher in power systems engineering, with a focus on enhancing the accuracy and reliability of electrical load forecasting. Her key research areas include artificial intelligence applications in energy systems, time series analysis, and the integration of signal processing techniques for near real-time power system management. Her most cited work, "Near Real-Time Load Forecasting of Power System Using Fuzzy Time Series, Artificial Neural Networks, and Wavelet Transform Models" (2023), demonstrates a novel hybrid approach that combines fuzzy logic, neural networks, and wavelet transforms to improve short-term load prediction. This contribution addresses a critical challenge in modern power grids—the lack of inventory buffers between generation and consumption—by enabling more precise demand forecasting. With 5 citations since its publication, this paper is gaining traction among researchers working on smart grid optimization and energy management. Priti’s work is particularly notable for its practical relevance to utility engineers, offering tools to ensure reliable and quality electrical energy delivery. As the demand for intelligent power systems grows, her research is poised to influence both academic inquiry and real-world grid operations.
Research Focus
Key Achievements
Top Papers
- 1