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offer powerful tools to help mitigate the pressure. AI can optimise energy production, improve grid management, and increase the efficiency of both renewable and non- renewable energy sources. Smart grids, for example, powered by AI, will help manage the flow of electricity more efficiently, balancing supply and demand in real-time. Advanced algorithms will optimise renewable energy generation and storage, reduce waste and minimise the need for costly backup power sources. Additionally, breakthroughs in energy storage technology (such as better batteries) and demand-side management (where consumers adjust energy use based on price signals) will further alleviate pressure on the grid.
The growing use of AI, automation, and robotics will drive up the demand for electricity. The data centres needed to support AI processing, as well as the energy required to power automated systems, will add significant strain on the grid. In particular, the rise of machine learning models and robotics in industries like healthcare, manufacturing, and logistics will exacerbate the need for energy, increasing costs as more computational power is required. Factors That Could Negatively Impact Energy Prices AI and Technology: Efficiency and Energy Solutions While increased energy demand is inevitable, AI and technology also
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