title: Foydalanilgan adabiyotlar ro’yxati
text: Namangan Institute of Engineering and Technology
  nammti.uz
  10.25.2023
  Pg.290
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  ARTIFICIAL INTELLIGENCE FOR CONTROLLING AND STABILIZING POWER GRID FREQUENCY
  R.A.Sultonov, M.I.Mamadaliyev
  Farg’na politexnika instituti
  Abstract. An essential function of power systems operation
  is balancing the supply and
  demand of electricity. In order to maximize system management
  and balancing, we must have a
  firm grasp of how developing power imbalances appear in the grid frequency's variations from its
  reference. But still, it might be difficult to comprehend grid frequency differences due to diversity.
  The interplaying elements influence the frequency, which range from volatile renewable energy to
  the predictable effects of trading electricity. Here, explainable machine learning is used to separate
  various impacts the stability of frequency. Gradient boosted tree training we are able to accurately
  forecast frequency control and stability. Stimulation by techno-economic characteristics. Analyzing
  the model we uncover and contrast using Shapely Additive Explanations (SHAP). Factors influencing
  frequency stability and hazards in the main European power networks.