The smart grid integrates and manages renewable energy sources effectively using advanced technology. Image: Intel The smart grid requires an advanced level of computing to be deployed at the edge of the grid to manage and optimize the highly distributed intermittent loads introduced.
This emerging district is designed to be the world’s foremost smart energy laboratory at full scale. This district heating and smart-grid integration shows how electricity and heat, energy-efficient buildings and electric transport can be integrated into one intelligent, flexible and optimized energy system.
Microgrids can step in when the main electricity grid fails. And as they can be powered by renewables, they are a sustainable and affordable option, too.
Secondly, countries must modernize their grid infrastructure with precision and foresight. Deployment of diverse storage technologies and smart inverters will enhance real-time monitoring, grid stability and renewable energy utilization. In India, for example, smart inverters are being used to manage grid voltages for more efficient operation.
This generation of clean energy is important to reach net-zero, but digitalizing and expanding our electricity grids is also vital for the green transition.
The road to a modern, resilient global energy grid is certainly challenging, but the way forward is becoming clearer. With climate change and new energy sources reshaping our world, smart, responsive systems are no longer a luxury – they're a must-have. Edge AI brings this intelligence to the front lines of our power networks.
The electricity grid is the backbone of our energy system, but it's increasingly strained by rising demand and the intermittency of renewable sources, like solar and wind. This is where the convergence of AI, advanced measurement technologies (such as satellite imagery and LiDAR) and smart grid infrastructure becomes a game-changer for enhancing grid stability and reliability.
Through advanced machine learning and data analytics, AI can optimize energy consumption, improve grid resilience and enable smarter, more efficient use of resources. AI-driven energy efficiency measures and smart grid technologies could generate up to $1.3 trillion in economic value by 2030.
Smart technologies are vital to this investment. They have helped transform traditional electricity systems into intelligently connected networks known as smart grids. Smart grids have the potential to boost resiliency and to catalyse the efficient and sustainable use of electricity.
The D3A balances the grid from the edge up, not the top down. In matryoshka-like fashion, at every scale of the grid - from individual devices, to buildings, neighbourhoods, and regions - the D3A nests hierarchical markets, coded as blockchain smart contracts, which govern the transactions that balance electricity supply and demand.
