首页|New Findings from University College London (UCL) in the Area of Machine Learnin g Reported (Driving Towards Net-zero From the Energy Sector: Leveraging Machine Intelligence for Robust Optimization of Coal and Combined Cycle Gas Power Statio ns)
New Findings from University College London (UCL) in the Area of Machine Learnin g Reported (Driving Towards Net-zero From the Energy Sector: Leveraging Machine Intelligence for Robust Optimization of Coal and Combined Cycle Gas Power Statio ns)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ma chine Learning. According to news reportingoriginating in London, United Kingdo m, by NewsRx journalists, research stated, “The fossil -based powerstations usi ng coal and natural gas are envisioned to support the peak energy demand for the planning ofnet -zero energy -mix in different economies around the globe. Howe ver, the operation optimization of thefossil -based power systems, which is qui te challenging, can significantly reduce the emissions dischargeto further supp ort the net -zero goal.”
LondonUnited KingdomEuropeEmerging TechnologiesFinance and InvestmentInvestment and FinanceMachine Intellige nceMachine LearningUniversity College London (UCL)
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