Pandit Deendayal Energy University

A robust optimization framework for energy management in smart EV parking lots

The increasing penetration of electric vehicles (EVs), renewable energy sources, and uncertain electricity market conditions has created significant challenges for efficient energy management in smart EV parking lots. This paper proposes a hybrid multi-objective optimization fram...

Atmospheric and cloud microphysical drivers of extreme precipitation over a coastal region: the Mumbai 2025 event

Human-induced atmospheric warming has increased the frequency and intensity of extreme precipitation events by enhancing atmospheric moisture availability. The geographical location of India makes it particularly susceptible to stronger and often extreme rainfall episodes. After...

Data driven permeability modelling in tight Jhuran formation sandstones of the Kutch offshore Basin India

Permeability prediction in tight sandstone reservoirs remains a fundamental challenge, particularly in data-constrained frontier basins. The Mesozoic Jhuran Formation of the Kachchh Offshore Basin is characterized by low permeability (0.01–10 mD), heterogeneous facies architectur...

Globalisation vs Swadeshi: Atmanirbhar Bharat, Civilisational Economics, and the Vision of Vikshit Bharat 2047 in a Multipolar World

ABSTRACT: Globalisation, once seen as an unstoppable process of economic and political unification, is now being reshaped by multipolarity, geopolitical fragmentation, economic nationalism, and the resurgence of civilisational identities. This paper explores whether India’s curre...

PSO-optimized ensemble learning framework for high-accuracy sensorless voltage estimation in industrial inverter drives

Abstract Accurate voltage estimation is essential for real-time control and condition monitoring of industrial inverter-driven systems, particularly under dynamic operating conditions. This study proposes a sensorless, data-driven framework for estimating phase voltages in a thre...

Physics-informed adversarial networks for stochastic second-order mean-field games of autonomous traffic

Abstract Inspired by the highly complex and nonlinear traffic flow phenomenon, we propose a second-order continuum model for autonomous vehicles (AVs) by considering them as rational and utility-optimizing agents. Further, by accounting for stochastic fluctuations in driving dyna...

Development of a machine learning model for air quality estimation considering key performance indicators for an Indian urban region

This paper aims to develop a Machine Learning (ML)-based framework for estimating urban air quality using Key Performance Indicators (KPIs) influencing pollution levels in Delhi, India. The considered factors include geographic coordinates, population density, time-based traffic...

Does ESG-linked compensation moderate the executive opportunism driven by mandatory ESG disclosure regulation? Interceding role of audit efficacy and media attention

Purpose This research aims to analyze how mandatory ESG reporting legislation affects executive opportunism through the quality of financial reporting. The study also examines audit efficacy and media attention as mechanisms and explains the moderating effect of ESG-linked pay on...

The Sacred and the Secular: An Empirical Analysis of Religious Attendance and Macroeconomic Development

Abstract This paper examines the long-term relationship between religious involvement across the 50 years and economic growth. For long many sociologists believed as the countries became modern, religion would fade away of itself, but the facts have proved otherwise. The study us...

The Sacred and the Secular: An Empirical Analysis of Religious Attendance and Macroeconomic Development

Abstract This paper examines the long-term relationship between religious involvement across the 50 years and economic growth. For long many sociologists believed as the countries became modern, religion would fade away of itself, but the facts have proved otherwise. The study us...