Advanced optimization methods and big data applications in energy demand forecast

HIGHLIGHTS

  • who: Federico Divina and collaborators from the Universidad Pablo de Olavide, Seville, Spain have published the Article: Advanced Optimization Methods and Big Data Applications in Energy Demand Forecast, in the Journal: (JOURNAL) of 22/01/2021
  • how: In this work a neuro-evolution approach was used.

SUMMARY

    Smart sensors are now widely used in energy production and energy consumption systems. This implies that a huge amount of data are generated, and need to be analyzed to extract useful insights from it. In recent years, researchers have been very actively working to . . .

     

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