INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
The high proportion of energy consumption in building leads to the manifestation of many environmental problems, which negatively affectthe existence of human beings.Predicting energy consumption in buildings is basically statedas a method of saving energy and improving decision making for reducing the loss of energy consumption. The construction of energy efficient buildings will also contribute reducing the overall energy consumption in new buildings. Machine learning methods are considered to be the most appropriate method to deliver the expected result in prediction tasks.Therefore ML has been used in the field of the energy consumption of operational buildings in studies.
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"Energy Consumption Prediction Model For Residential Buildings Using Deep Learning And Machine Learning.", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.i457-i463, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305857.pdf
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2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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