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Swiss energy services company uses machine learning to see the future

CIO Business Intelligence

That changed in 2017 when Swiss voters approved an energy act that would reduce the country’s dependency on fossil fuels by 2050. The combination of the smart meter data and weather forecast information would provide a calculated load profile in real-time, driving solar power production for the near future.

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Climate change predictions: Anticipating and adapting to a warming world

IBM Big Data Hub

The model could potentially be used to identify conditions that raise the risks of wildfires and predict hurricanes and droughts. The United Nations’ Intergovernmental Panel on Climate Change (IPCC) predicts people living in Africa, Australia, North America and Europe will face health risks due to rising temperatures and heat waves.

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New DoE Program Drives Demand For Machine Learning Programmers

Smart Data Collective

However, the detailed findings of intelligent asset performance analysis allow financers to minimize risks and maximize expected returns,” the company reports. “This speeds up M&A transactions worldwide by optimizing the technical due diligence process of wind farms and machines in operation.

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Holistic asset management for utility network companies

IBM Big Data Hub

The grid itself must green to operate within the environmental, social and governance (ESG) objectives and become carbon neutral by 2050. Finding the right balance requires load forecasting and simulation to prevent net congestion. Economical optimization must factor in new market dynamics and ensure reliable operation.