A soft computing method for the prediction of energy performance of residential buildings

• المؤلفون الرئيسيون: Nilashi, M., Dalvi-Esfahani, M., Ibrahim, O., Bagherifard, K., Mardani, A., Zakuan, N.
• التنسيق: مقال
• منشور في: Elsevier B.V. 2017
• الموضوعات: HD28 Management. Industrial Management
• الوصول للمادة أونلاين: http://eprints.utm.my/id/eprint/76945/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020455137&doi=10.1016%2fj.measurement.2017.05.048&partnerID=40&md5=9e48b8f923ff559ba701b1c33fb86b2f
• المؤسسة: Universiti Teknologi Malaysia

Buildings are a crucial factor of energy concerns and one of the most significant energy consumers. Accurate estimation of energy efficiency of residential buildings based on the computation of Heating Load (HL) and the Cooling Load (CL) is an important task. Developing computational tools and metho...