Enhancing hourly heat demand prediction through artificial neural networks: A national level case study

Author:

Zhang Meng,Millar Michael-Allan,Chen Si,Ren Yaxing,Yu Zhibin,Yu James

Funder

Engineering and Physical Sciences Research Council

Publisher

Elsevier BV

Subject

Artificial Intelligence,General Energy,Engineering (miscellaneous)

Reference53 articles.

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2. "Transforming heating-Overview of current evidence", Department for business, energy & industrial strategy 2018, Available: https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/766109/decarbonising-heating.pdf.

3. (2021). Apply for the boiler upgrade scheme. Available: https://www.gov.uk/apply-boiler-upgrade-scheme.

4. Component-based machine learning modelling approach for design stage building energy prediction: weather conditions and size;Singaravel,2017

5. Machine learning for early stage building energy prediction: increment and enrichment;Singh;Appl Energy,2021

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