الملخص
على الصعيد العالمي ، تستهلك المباني حوالي 40٪ من الطاقة. تؤثر العديد من العناصر ، مثل الخصائص الفيزيائية للهيكل ، وكفاءة نظام التبريد والتدفئة ، ونشاط شاغلي المبنى ، واستدامة المبنى ، على استهلاك الطاقة للمبنى. في الواقع ، من الصعب حقًا التنبؤ بكمية الطاقة التي يحتاجها المبنى. من أجل تحسين استدامة المبنى وإنشاء مصادر طاقة مستدامة لتقليل غاز ثاني أكسيد الكربون المنبعث من احتراق الوقود الأحفوري ، من الضروري إجراء تقدير للطاقة المستخدمة في المبنى. تتناول هذه الورقة شرحاً للطاقة المستهلكة في مبنى المحاضرات بكلية الهندسة خوارزمي ، جامعة بغداد ، العراق. تم جمع بيانات الطقس لفترة زمنية محددة ومعلومات تشييد المبنى ووضعت في مجموعة بيانات محددة. تم استخدام هذه البيانات لمعرفة قيمة استهلاك الطاقة في المبنى المذكور أعلاه ، باستخدام الذكاء الاصطناعي وتحليل البيانات. تكمن أهمية هذا العمل في تقليل كمية الطاقة المستهلكة. يمكن استخدام نتائج هذا العمل للتنبؤ بالطاقة التي يستهلكها أي مبنى قبل بنائه. توضح المنهجية المستخدمة القدرة على التنبؤ بأداء الطاقة في بناية تعليمية باستخدام النتائج السابقة وتدريب النموذج عليها ، وتعتمد دقة التنبؤ على كمية البيانات المتاحة للتدريب في خطوات الذكاء الاصطناعي لإعطاء أعلى دقة. تم التحقق من التنبؤ باستخدام جذر متوسط الخطأ التربيعي ومعامل التحديد ووصلنا إلى 0.16 و 0.97 لـ متوسط الخطأ التربيعي ومعامل التحديد على التوالي.
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