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Developing a three stage coordinated approach to enhance efficiency and reliability of virtual power plants

Nature
This paper presents a tri-level hierarchical coordinated operational framework of VPP. Firstly, an Improved Pelican Optimization Algorithm (IPOA) is introduced.
4 months ago

Optimal economic dispatch of a virtual power plant based on gated recurrent unit proximal policy optimization

Frontiers
The intermittent renewable energy in a virtual power plant (VPP) brings generation uncertainties, which prevents the VPP from providing a reliable and...
3 months ago

Predicting Chaos With AI: The New Frontier in Autonomous Control

SciTechDaily
Recent research highlights the development of advanced machine learning algorithms capable of controlling complex systems efficiently.
4 months ago

An AI-based approach to microgrids that can restore power more efficiently and reliably in an outage

Tech Xplore
An artificial intelligence (AI) -based approach for the smart control of microgrids for power restoration when outages occur.
10 months ago

Dual layer energy management model for optimal operation of a community based microgrid considering electric vehicle penetration

Nature
This work develops a dual-layer energy management (DLEM) model for a microgrid (MG) consisting of a community, distributed energy resources (DERs), and a grid.
2 months ago

100 Top AI Companies Trendsetting In 2024

Datamation
The top AI companies are leading the way in developing and deploying cutting-edge artificial intelligence applications across nearly every sector.
7 months ago

Four ways AI is making the power grid faster and more resilient

MIT Technology Review
From predicting EV charge times to pinpointing areas of high wildfire risk, AI is transforming our energy network.
10 months ago

Digital Transformation in the Energy Industry

Shell Global
Find out how digitalisation in the energy sector is transforming Shell and the energy sector by improving efficiency and facilitating low carbon energy.
7 months ago

LoadNet: enhancing energy storage system integration in power system operation using temporal convolutional and recurrent models with self-attention

Frontiers
This study introduces LoadNet, an innovative approach that combines the fusion of Temporal Convolutional Network (TCN) and Gated Recurrent Unit (GRU) models.
3 months ago

ESG guidance and artificial intelligence support for power systems analytics in the energy industry

Nature
In order to increase the precision and effectiveness of power system analysis and fault diagnosis, this study aims to assess the power...
4 months ago