Data

An Algorithm to Predict Solar Energy Generation

Solar is clean energy, but its production is inconsistent by nature as it is subject to ever-changing weather. So how can we accurately forecast output? This challenge, set by the IEEE Power & Energy Society competition, was taken up by Wided Hammedi, Research Engineer at Orange. Her forecasting model won second place at this international competition in 2023.
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Khiops: Simple and Automated Machine Learning

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NORIA: Network anomaly detection using knowledge graphs

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Attacks on AI: data cleaning becomes a cybersecurity issue

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FoodProX uses machine learning to detect ultra-processed food

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IoT and micromobility to benefit from smarter more sustainable batteries

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Heatwaves: how technology is affected by soaring temperatures

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