Energy Demand Forecasting: Combining Cointegration Analysis and Artificial Intelligence Algorithm
المؤلفون المشاركون
Huang, Junbing
Tang, Yuee
Chen, Shuxing
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-01-10
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
Energy is vital for the sustainable development of China.
Accurate forecasts of annual energy demand are essential to schedule energy supply and provide valuable suggestions for developing related industries.
In the existing literature on energy use prediction, the artificial intelligence-based (AI-based) model has received considerable attention.
However, few econometric and statistical evidences exist that can prove the reliability of the current AI-based model, an area that still needs to be addressed.
In this study, a new energy demand forecasting framework is presented at first.
On the basis of historical annual data of electricity usage over the period of 1985–2015, the coefficients of linear and quadratic forms of the AI-based model are optimized by combining an adaptive genetic algorithm and a cointegration analysis shown as an example.
Prediction results of the proposed model indicate that the annual growth rate of electricity demand in China will slow down.
However, China will continue to demand about 13 trillion kilowatt hours in 2030 because of population growth, economic growth, and urbanization.
In addition, the model has greater accuracy and reliability compared with other single optimization methods.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Huang, Junbing& Tang, Yuee& Chen, Shuxing. 2018. Energy Demand Forecasting: Combining Cointegration Analysis and Artificial Intelligence Algorithm. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1207854
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Huang, Junbing…[et al.]. Energy Demand Forecasting: Combining Cointegration Analysis and Artificial Intelligence Algorithm. Mathematical Problems in Engineering No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1207854
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Huang, Junbing& Tang, Yuee& Chen, Shuxing. Energy Demand Forecasting: Combining Cointegration Analysis and Artificial Intelligence Algorithm. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1207854
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1207854
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر