N
Nirav Bhatt
Researcher at Indian Institute of Technology Madras
Publications - 57
Citations - 678
Nirav Bhatt is an academic researcher from Indian Institute of Technology Madras. The author has contributed to research in topics: Computer science & Matrix (mathematics). The author has an hindex of 12, co-authored 52 publications receiving 488 citations. Previous affiliations of Nirav Bhatt include Department of Biotechnology & École Polytechnique Fédérale de Lausanne.
Papers
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Journal ArticleDOI
Identifying Topology of Low Voltage Distribution Networks Based on Smart Meter Data
TL;DR: The proposed method involves the application of principal component analysis and its graph-theoretic interpretation to infer the steady state network topology from smart meter energy measurements and is demonstrated through simulation on randomly generated networks and on IEEE recognized Roy Billinton distribution test system.
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Extents of reaction and flow for homogeneous reaction systems with inlet and outlet streams
TL;DR: In this paper, the authors propose two transformations for homogeneous reaction systems with inlet and outlet streams that allow isolating three distinct parts of the state vector, namely, reaction variants, the reaction invariants but inlet- flow variants, and the reaction and inletflows invariants.
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Incremental Identification of Reaction Systems - A Comparison between Rate-based and Extent-based Approaches
TL;DR: The present paper compares the performance of these two incremental approaches with respect to their ability to discriminate between two or more competing rate expressions, to estimate the rate parameters with high accuracy, and the associated computational effort.
Proceedings ArticleDOI
Analysis of PCA based compression and denoising of smart grid data under normal and fault conditions
TL;DR: Application of principal component analysis (PCA) based data compression approaches for smart grid (SG) data storage indicates that proposed methods compress both the steady state and transient signals effectively while simultaneously removing the Gaussian noise contained in the signals.
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Extents of Reaction, Mass Transfer and Flow for Gas−Liquid Reaction Systems
TL;DR: For gas-liquid reaction systems with inlet and outlet streams, a linear transformation was proposed in this paper to decompose the numbers of moles vector into five distinct parts, namely, the extents of reaction, mass transfer, inlet flow, and invariants.