首页|Study Results from Dalhousie University in the Area of Machine Learning Publishe d (A Comprehensive Review of the Current Status of Smart Grid Technologies for R enewable Energies Integration and Future Trends: The Role of Machine Learning an d ...)
Study Results from Dalhousie University in the Area of Machine Learning Publishe d (A Comprehensive Review of the Current Status of Smart Grid Technologies for R enewable Energies Integration and Future Trends: The Role of Machine Learning an d ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New study results on artificial intell igence have been published. According to news originating from Halifax, Canada, by NewsRx correspondents, research stated, "The integration of renewable energy sources (RES) into smart grids has been considered crucial for advancing towards a sustainable and resilient energy infrastructure." Funders for this research include Natural Sciences And Engineering Research Coun cil of Canada. The news editors obtained a quote from the research from Dalhousie University: " Their integration is vital for achieving energy sustainability among all clean e nergy sources, including wind, solar, and hydropower. This review paper provides athoughtful analysis of the current status of the smart grid, focusing on inte grating various RES, such as wind and solar, into the smart grid. This review hi ghlights the significant role of RES in reducing greenhouse gas emissions and re ducing traditional fossil fuel reliability, thereby contributing to environmenta l sustainability and empowering energy security. Moreover, key advancements in s mart grid technologies, such as Advanced Metering Infrastructure (AMI), Distribu ted Control Systems (DCS), and Supervisory Control and Data Acquisition (SCADA) systems, are explored to clarify the related topics to the smart grid. The usage of various technologies enhances grid reliability, efficiency, and resilience a re introduced."
Dalhousie UniversityHalifaxCanadaNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningTech nology
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