#AI is at the forefront of climate action, modern electricity grids, and the race to decarbonise. 3️⃣ examples from industry experts show how👇
🌍 AI for #ClimateAction
Friends of the Earth International (🇳🇬 Nigeria) used forest cover and land concession data from Global Forest Watch to monitor deforestation and corporate land acquisition. This data – collected using satellites, computer vision, and #DeepLearning – informed policy-making and resulted in nearly 14,000 hectares of land being given back to impacted communities
📃 How AI can be used to reach the #SDGs from McKinsey & Company:
👉 https://lnkd.in/e6tZGJfJ
⚡️AI for the #Electricity #Grid
#Decentralisation, driven by renewable energy sources and advanced analytics, is the future of grids. Bret Simon from Exodigo emphasises that AI and advanced analytics are key to overcoming the challenges of transforming traditional centralised grids into flexible, decentralised networks. AI aids in accurate forecasting, risk detection, and #infrastructure upgrades, ensuring that the transition is both efficient and equitable. Integrating real-time sensor data with AI capabilities empowers utilities to manage the increased variability and unpredictability of #renewables.
🗞️ Full article in Smart Energy International:
👉 https://lnkd.in/dp3GyVpE
🌿 AI for #NetZero
In the energy sector, AI accelerates #decarbonisation and the transition towards a net-zero future. According to Per Christian Honningsvåg at Microsoft, AI can be pivotal in increasing demand-side #flexibility, optimising asset performance, and scheduling maintenance and trades. However, human talent remains crucial in driving these changes. AI assists in managing the transition, but human expertise is necessary for implementation and adaptation. Talent acquisition, upskilling, and enhancing productivity are crucial as people drive this transition.
🎞️ Watch the full interview from Smart Energy International:
👉 https://lnkd.in/d3ugUGgJ