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Data driven net load uncertainty quantification for cloud energy storage management in residential microgrid
Residential communities are increasingly adopting renewable energy sources (RES) to
minimize energy consumption costs. However, these RES are weather-dependent and …
minimize energy consumption costs. However, these RES are weather-dependent and …
Uncertainty aware optimal battery sizing for cloud energy storage in community microgrid
Cloud energy storage systems (CES) are a new paradigm for the application of consumer-
side energy storage in residential community microgrids. By transforming traditional …
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
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 …
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
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 …
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
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 …
deviation and difficulties to the optimal power flow (OPF) problem. The optimal operation of …
Deep recurrent mixer models for load forecasting in distribution network
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 …
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
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 …
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
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 …
from sources to end-users, ensuring a resilient and sustainable grid. To perform optimal …
P2P Energy Trading With Decentralized Energy Storage Embedded Network Loss
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 …
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 …
electricity consumption and auxiliary power supply modes in Japan, aiming to enhance …