الذكاء الإصطناعي لصياغة أنظمة الطاقة المتجددة

المؤلفون

  • ahmed ezzat Elect. Dept., industrial technical institute, Mid Valley Technological College, Sohag, Egypt. https://orcid.org/0009-0004-6973-4157
  • علاء محمود Elect. Dep., Faculty of Technology and Education, Sohag University, Sohag, Egypt.
  • احمد عبد الحافظ Elect. Eng. Dept., Fac. of Eng., Assiut University, Assiut, Egypt.

DOI:

https://doi.org/10.51646/jsesd.v14i1.369

الكلمات المفتاحية:

Renewable Energy Sources، Artificial Intelligence، Optimization، Energy، Power System، Sustainability.

الملخص

دخلت مصادر الطاقة المتجددة في أنظمة الطاقة على نطاق واسع، نظرًا لتوافقها البيئي ونقص احتياطي الوقود الأحفوري. وهذا يفرض تطبيق تقنيات ذكية ومبتكرة وذكية للتنبؤ بمصادر الطاقة المتجددة والتحكم فيها وإدارتها. ومع ذلك، تعاني مصادر الطاقة المتجددة من عدم الثبات والاعتماد على الطقس وظروف التشغيل، وهو ما يعتبر تحديًا رئيسيًا لاستراتيجية التحكم التقليدية. يتمتع الذكاء الاصطناعي  بميزة تكييف روتين التحكم والتشغيل وفقًا لحالة النظام، وهو ما يُعزى إلى السيناريوهات المفترضة العديدة التي تم تدريب النظم عليها. يمكن للذكاء الاصطناعي في مجالات مصادر الطاقة المتجددة تحسين موثوقيتها وأمنها واستدامتها. علاوة على ذلك، يمكن للذكاء الاصطناعي تعزيز تشغيل أنظمة تخزين الطاقة المختلفة، والتي تعتبر جزءًا لا يتجزأ من أنظمة مصادر الطاقة المتجددة المختلفة. يحلل هذا المقال بشكل شامل العديد من الأدبيات المتعلقة بالذكاء الاصطناعي لمصادر الطاقة المتجددة. علاوة على ذلك، يتم تقديم مقارنات شاملة بين أنظمة التحكم التقليدية للذكاء الاصطناعي في مجالات مصادر الطاقة المتجددة. كما يتناول المقال نظم تخزين مصادر الطاقة المتجددة وتأثير تطبيق الذكاء الاصطناعي في تحسين إدارة الطاقة لهذه الأنظمة. تعتبر المقالة بمثابة مراجعة بسيطة وموثوقة للباحثين والمهندسين في مجال الذكاء الاصطناعي لمصادر الطاقة المتجددة.

التنزيلات

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المقاييس

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منشور

2025-07-05

كيفية الاقتباس

ezzat, ahmed, محمود alaa, & عبد الحافظ ahmed. (2025). الذكاء الإصطناعي لصياغة أنظمة الطاقة المتجددة. Solar Energy and Sustainable Development Journal, 14(1), 504–521. https://doi.org/10.51646/jsesd.v14i1.369

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