Develops enterprise software that unlocks the value of distributed energy resources (DERs) through Virtual Power Plants (VPPs).
Global market leader in energy storage products and services, and digital applications for renewables and storage.
Paper
A deep learning and IoT-driven framework for real-time adaptive resource allocation and grid optimization in smart energy systemsScientific Reports · Jun 2, 2025
This study presents a deep learning and IoT-driven framework for real-time adaptive resource allocation and grid optimization in smart energy systems, addressing the challenges of rising global energy demand and renewable energy integration.
Paper
Advanced AI approaches for the modeling and optimization of microgrid energy systemsScientific Reports · Apr 12, 2025
This study examines AI techniques (Genetic Algorithm, Artificial Bee Colony, Ant Colony Optimization) to reduce cost and CO2 emissions for designing and controlling microgrids with solar and wind energy.
Paper
AutoGrid AI: Deep Reinforcement Learning Framework for Autonomous Microgrid ManagementarXiv · Sep 1, 2025
Proposes a Deep Reinforcement Learning framework for autonomous microgrid management, enabling intelligent control and optimization of grid operations.
United States · Company
The energy portfolio of GE (formerly GE Digital), offering Asset Performance Management (APM) software powered by AI.
Energy technology company and supplier, developer of the Kraken platform.
Blockchain-enabled energy trading platform for peer-to-peer energy exchange.
Develops advanced grid control software enabling utilities to manage distributed energy resources (DERs) and microgrids autonomously.
A global leader in AI-driven clean energy solutions and services.
The advanced energy services arm of Enel Group, focusing on demand response and flexibility.
United States · Company
Designer and manufacturer of digital products and systems that protect power grids.
Automotive and energy company developing custom AI silicon for autonomous driving.
Paper
International Journal of Artificial Intelligence Engineering and Transformation · Sep 12, 2025
Develops a multi-agent reinforcement learning system for optimizing energy consumption across smart city domains, including smart grids and renewable integration.
Report
AI-Powered microgrids: Optimizing the balanceSchneider Electric · Nov 24, 2025
Research across 11 operational sites revealing how artificial intelligence optimizes microgrid performance for economic and environmental objectives.
Paper
Scenario-adaptive hierarchical optimisation framework for design in hybrid energy storage systemsNature Communications · Dec 10, 2025
Proposes a hierarchical optimization framework for hybrid energy storage systems to enhance flexibility and renewable utilization in industrial parks, achieving significant cost and emission reductions.
Article
TOMORROW'S POWER GRID WILL BE AUTONOMOUSspectrum.ieee.org
Autonomous energy grids use AI, renewable energy, and energy storage to optimize the grid
Article
DeepMind and National Grid in AI talks to balance energy supplyft.com
Article
National Renewable Energy Laboratory (NREL)nrel.gov
At the National Renewable Energy Laboratory (NREL), we focus on creative answers to today's energy challenges. From breakthroughs in fundamental science to new clean technologies to integrated energy systems that power our lives, NREL researchers are transforming the way the nation and the world use energy.
Article
International Renewable Energy Agency (IRENA)irena.org
The International Renewable Energy Agency (IRENA) is a lead global intergovernmental agency for energy transformation that serves as the principal platform for international cooperation, supports countries in their energy transitions, and provides state of the art data and analyses on technology, innovation, policy, finance and investment. IRENA drives the widespread adoption and sustainable use of all forms of renewable energy, including bioenergy, geothermal, hydropower, ocean, solar and wind energy in the pursuit of sustainable development, energy access, and energy security, for economic and social resilience and prosperity and a climate-proof future.
Article
How Smart Grid Contributes to Energy Sustainabilitysciencedirect.com
With the increasingly serious energy shortage and global warming, sustainable development has become an urgent requirement all over the world. The integration of smart grid technologies, sustainable energy resources and low-carbon emissions in power system is an important route to sustainable development. However, the difficulties in dealing with intermittent power and the low utilization efficiency of power system appeared to be obstacles. This paper gives an overview of the role smart grid playing in energy sustainability. Firstly, smart grid techniques improve the amount of intermittent renewable generation in power system, increasing the capacity of grid-connected clean energy such as solar energy, wind energy and photovoltaic system. Secondly, smart grid promotes energy saving in power system. The main advantage of smart grid is that it can improve the utilization efficiency of power system and the power consuming efficiency. Lastly, this paper discusses the interrelationship of energy, environment and climate sustainable development and draws the conclusion that smart grid can make a significant and comprehensive contribution to energy and environment sustainability, and also helps to control climate change.
Article
SLAC-Led Project Will Use Artificial Intelligence to Prevent or Minimize Electric Grid Failureswww6.slac.stanford.edu
It’s the first to employ AI to help the grid manage power fluctuations, resist damage and bounce back faster from storms, solar eclipses, cyberattacks and other disruptions. Partners include utilities and Berkeley Lab.
Article
Smart Grids Explainedyoutube.com
Most of the world relies on 50-year old energy systems. Smart grids could be the next step. They are digitized energy networks, delivering electricity in an optimal way from source to consumption.
Urban centres worldwide are grappling with the dual challenges of energy inefficiency and the escalating demands of an ever-growing population. The Integrated Autonomous Energy Grid (IAEG) offers a solution to these pressing issues. As cities continue to expand, traditional power grids struggle to keep up with the dynamic energy requirements, leading to frequent outages and increased greenhouse gas emissions. The IAEG addresses these problems by ensuring a more resilient, efficient, and sustainable energy distribution system.
The Integrated Autonomous Energy Grid is an advanced energy management system that autonomously balances energy supply and demand within urban areas. It utilises artificial intelligence and machine learning algorithms to monitor, predict, and manage energy flows. By integrating renewable energy sources such as solar and wind power with traditional energy infrastructure, the IAEG can dynamically adjust to fluctuations in energy production and consumption. This ensures a consistent and reliable energy supply, minimising wastage and reducing the reliance on fossil fuels.
At the core of the IAEG is its sophisticated network of sensors and smart meters, which continuously collect data on energy usage and production. This data is analysed in real-time by the grid's AI system, which then optimises the distribution of energy across the network. In the event of a power outage or a sudden spike in demand, the IAEG can swiftly reallocate resources to maintain stability. Additionally, the system's predictive capabilities enable it to anticipate future energy needs and prepare accordingly, further enhancing its efficiency and reliability.
The energy demand will only increase with the growing urbanisation, putting further strain on existing infrastructure. The IAEG offers a sustainable solution by maximising the use of renewable energy sources and improving overall grid efficiency. This not only helps in reducing carbon emissions but also in creating a more resilient urban environment capable of withstanding the challenges posed by climate change and population growth.
Moreover, the IAEG fosters greater energy independence for cities, reducing their vulnerability to external energy supply disruptions. By harnessing local renewable resources and optimising energy consumption, cities can achieve a more sustainable and self-sufficient energy model. This technological advancement is crucial for building smart cities of the future, where energy efficiency and sustainability are paramount.
