Data driven net load uncertainty quantification for cloud energy storage management in residential microgrid

VK Saini, AS Al-Sumaiti, R Kumar - Electric Power Systems Research, 2024 - Elsevier
Residential communities are increasingly adopting renewable energy sources (RES) to
minimize energy consumption costs. However, these RES are weather-dependent and …

Uncertainty aware optimal battery sizing for cloud energy storage in community microgrid

VK Saini, R Kumar, AS Al-Sumaiti… - Electric Power Systems …, 2023 - Elsevier
Cloud energy storage systems (CES) are a new paradigm for the application of consumer-
side energy storage in residential community microgrids. By transforming traditional …

Proof of work consensus based peer to peer Energy trading in the Indian residential community

VK Saini, CS Purohit, R Kumar, AS Al-Sumaiti - Energies, 2023 - mdpi.com
Rooftop solar power generation is becoming more widespread in residential microgrids. As
well as new concepts of electricity markets, such as peer-to-peer (P2P) markets, where …

Modern use of prosumer energy regulation capabilities for the provision of microgrid flexibility services

A Ostrowska, T Sikorski, A Burgio, M Jasiński - Energies, 2023 - mdpi.com
Due to the prospect of climate change and the challenges posed by the European Union to
the modern power grid, a decentralized system based on distributed energy sources is …

GAT-ADNet: Leveraging Graph Attention Network for Optimal Power Flow in Active Distribution Network with High Renewables

DK Mahto, M Bukya, R Kumar, A Mathur… - IEEE Access, 2024 - ieeexplore.ieee.org
The high penetration of renewables into the active distribution network (ADN) brings voltage
deviation and difficulties to the optimal power flow (OPF) problem. The optimal operation of …

Deep recurrent mixer models for load forecasting in distribution network

DK Mahto, VK Saini, A Mathur… - 2022 IEEE 2nd …, 2022 - ieeexplore.ieee.org
Accurate load forecasting is important for grid security, operation, and planning of the power
system. The current grid network witnesses a significant transition into the smart grid in order …

Data Driven Thermal Comfort Model For Smart Home Energy Management System

S Yelisetti, VK Saini, R Kumar - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Recent years have seen an increase in the popularity of smart and energy-efficient homes.
The main issue in develo** a control system for such a structure is to reduce energy …

GAT-DNet: High Fidelity Graph Attention Network for Distribution Optimal Power Flow Pursuit

DK Mahto, VK Saini, A Mathur… - 2023 9th IEEE India …, 2023 - ieeexplore.ieee.org
The optimal operation of the distribution grid aims to efficiently manage the flow of electricity
from sources to end-users, ensuring a resilient and sustainable grid. To perform optimal …

P2P Energy Trading With Decentralized Energy Storage Embedded Network Loss

VK Saini, R Kumar, AS Al-Sumaiti - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
The deployment of distributed energy sources (DES), has transformed ordinary consumers
into active par-ticipants in the local energy market (LEM). Digitalization of distribution system …

Japanese Household Electric Power Consumption and Power Supply Mode Optimization Model Based On Neural Network and Linear Programming

Y Guo, L Li - 2024 11th International Conference on Power and …, 2024 - ieeexplore.ieee.org
This study employs neural networks and linear programming to optimize household
electricity consumption and auxiliary power supply modes in Japan, aiming to enhance …