Maneesh Upadhya

ORCID: 0000-0001-9148-8133
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About
Contact & Profiles
Research Areas
  • Power Transformer Diagnostics and Insulation
  • Power Quality and Harmonics
  • Magnetic Properties and Applications
  • Hydrological Forecasting Using AI
  • Electrical Fault Detection and Protection

Galgotias University
2024-2025

Motilal Nehru National Institute of Technology
2019-2022

In this paper, a novel technique of voltage sag characterization and detection have been presented. the proposed work, firstly, two types data inputs, namely, peak, fundamental component values signal, derived from IEEE test waveform instantaneous signal. Then, these one data, i.e., three used to obtain WT coefficients their energies with help Maximal Overlap Discrete Wavelet Transform (MODWT). Finally, energies, which are obtained applied estimate magnitude, duration, points on wave (POW)...

10.1109/upcon47278.2019.8980039 article EN 2019 International Conference on Electrical, Electronics and Computer Engineering (UPCON) 2019-11-01

Accurate rainfall forecasts are important throughout Agriculture, Water Resources, and Disaster preparation. In this example, we use two complex devices study design, Logistic Regression Random Forest classifier, to predict in Australia. The data set source for came from Kagle, which provides a complete summary of climate changes over time. aim our research is develop robust prediction model concerning possible precipitation types Australian territories. baseline model, while the Classifier...

10.1109/ic2pct60090.2024.10486681 article EN 2024-02-09
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