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Advancing industrial building energy measurement and verification (M&V) with deep learning: Evaluating data size and feature selection impact

This study explores the potential of advancing industrial building energy Measurement and Verification (M&V) using Deep Learning techniques, with a focus on the impact of data size and feature selection methods on model performance. Traditional M&V practices in the industry require extensive...

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Bibliographic Details
Main Authors: Sukarti, Suziee, Sulaima, Mohamad Fani, Abdul Kadir, Aida Fazliana, Shamsor, Muhamad Hafizul, Siaw, Wei Yao
Format: Article
Language:English
Published: Elsevier B.V. 2024
Online Access:http://eprints.utem.edu.my/id/eprint/27838/2/019010708202416140971.pdf
http://eprints.utem.edu.my/id/eprint/27838/
https://pdf.sciencedirectassets.com/271089/1-s2.0-S0378778824X00146/1-s2.0-S0378778824005735/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjECwaCXVzLWVhc3QtMSJHMEUCIQDcG%2Bb9nYlsdHlRIcRlqKFK%2FoQJdEigo3Bd6GFdujlzQgIgYjMnpIeMft8ac2zdmyi4nZfFCVtBSJJApq9cn9592rQqsgUIVBAFGgwwNTkwMDM1NDY4NjUiDGt%2F%2BEkXN5UO1IiUxiqPBbkCPc1Ep0fZ5nUrqpW5M4s8m1fbSn0qfKu6Pyz3BVg3j%2BgaNoq5fG5mR7pnaRVy86UbgnfHUWezmTwq9nqpUygnzreW%2BvepBil8wEu%2FYSZouZ5jW7YAeP7P0lTrCSusWQnr3myaL0%2BrKI3goAk7II9%2Flw5kXgFcpaOH1TNcNeeLf4EviBuycPv9Gc9zEG0rshph11CrBvjfx6qfKpF7soP2Ms4A0PJWHNTZTNvBfKq8HFyb9CElg8V2J565l0zvnNvSpYqCRGpnlKenPpOT0pEarsVlvMWIwVea9MRoTTLxOqdNE%2BlBG2G7HssSbIxBjDxeeh5txOF%2BSNgEWKVqiFHn%2BZP6F0Zy7nYRIl4F92L185xo6pBnBZUOPJB2yLxlIdDgyzA5Cip58vpX2DjDxC5%2FFD9%2FSio7KPmkzAkeTFFzE%2Bic3gUeUkcCTRsnmyG6l95AEaWj3NCHhGlKtxqNAniznDD5VUsLZUaAq01N%2FqbbI2zvicdYN4ptE8NwZN8JXcIBWDqkz9bfFVrMeTbjYDaiNvE1efV%2BpmE1pUTj%2B4KJd1iAVVTfqwySgu4qJ0iEp3qS975D1udtTyHpE4xIIwJcT%2FaEhsfiUKQFAmOugkWK5GozlAhsLuBkJ9QDdehgHaltD2wSylWHUmoA96O14xekfscIL4hBNqnYEkfsyI3xCik3EjfPGOcufSJicWtBfmazrF0bUKFErJ%2BQdJla1uFzpbKTNuDuLqyXFS6gO8q58ZBqSSksCGPbcdjCuDmp72%2BQ%2F0P7d%2B%2BC9FNAJnHN%2FgiF3B8tO7PnKwMGk0%2Bcs6h8n12h7rOUE7I6WjBT4E%2B4IdC7fe6zl7ql%2F64Dc%2FjQTo3WOpNbF8ZW6sPtxvFdhCMwjMz5tgY6sQGfjuqHk0lo4HyZGOcbNhCKcS2oqTgU0LTgqI4zHpKBghsWhsTEDKqjQoPnVAfX%2BU%2FArNz%2FGfXDzFvqLaTOY8YUFV9ICdCT%2BCyQRXJiPlSu6p%2B8foWvkAyVcOncPBd3%2FD%2BNOmGhrWSEr5%2BwRczoj7BeQvd90WIyEFEuFIVNwP4GuM7VbNsq39fMCq9bghrsOrKkLD796UmvULK%2FfxKTjQ8sEcgJRvgJvaQGQCO1qJD2iOQ%3D&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20240909T034228Z&X-Amz-SignedHeaders=host&X-Amz-Expires=300&X-Amz-Credential=ASIAQ3PHCVTY63ICLMAN%2F20240909%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Signature=9e4b44b97844e9a32126b4920af16ebdf84d44426864ae9347d1a90e2b4049e4&hash=d84d07bea581989162b04b9a97a66964380ff51edf0002271d2eb6d2ead5d2cc&host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&pii=S0378778824005735&tid=spdf-bb010c5d-fe50-4a92-b875-bbbd668d0018&sid=9f1caed672cc6540619a5ce7501616f7ba80gxrqb&type=client&tsoh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&ua=031d5a03575053075d&rr=8c042b210c639cb7&cc=my
https://doi.org/10.1016/j.enbuild.2024.114457
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http://eprints.utem.edu.my/id/eprint/27838/2/019010708202416140971.pdf
http://eprints.utem.edu.my/id/eprint/27838/
https://pdf.sciencedirectassets.com/271089/1-s2.0-S0378778824X00146/1-s2.0-S0378778824005735/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjECwaCXVzLWVhc3QtMSJHMEUCIQDcG%2Bb9nYlsdHlRIcRlqKFK%2FoQJdEigo3Bd6GFdujlzQgIgYjMnpIeMft8ac2zdmyi4nZfFCVtBSJJApq9cn9592rQqsgUIVBAFGgwwNTkwMDM1NDY4NjUiDGt%2F%2BEkXN5UO1IiUxiqPBbkCPc1Ep0fZ5nUrqpW5M4s8m1fbSn0qfKu6Pyz3BVg3j%2BgaNoq5fG5mR7pnaRVy86UbgnfHUWezmTwq9nqpUygnzreW%2BvepBil8wEu%2FYSZouZ5jW7YAeP7P0lTrCSusWQnr3myaL0%2BrKI3goAk7II9%2Flw5kXgFcpaOH1TNcNeeLf4EviBuycPv9Gc9zEG0rshph11CrBvjfx6qfKpF7soP2Ms4A0PJWHNTZTNvBfKq8HFyb9CElg8V2J565l0zvnNvSpYqCRGpnlKenPpOT0pEarsVlvMWIwVea9MRoTTLxOqdNE%2BlBG2G7HssSbIxBjDxeeh5txOF%2BSNgEWKVqiFHn%2BZP6F0Zy7nYRIl4F92L185xo6pBnBZUOPJB2yLxlIdDgyzA5Cip58vpX2DjDxC5%2FFD9%2FSio7KPmkzAkeTFFzE%2Bic3gUeUkcCTRsnmyG6l95AEaWj3NCHhGlKtxqNAniznDD5VUsLZUaAq01N%2FqbbI2zvicdYN4ptE8NwZN8JXcIBWDqkz9bfFVrMeTbjYDaiNvE1efV%2BpmE1pUTj%2B4KJd1iAVVTfqwySgu4qJ0iEp3qS975D1udtTyHpE4xIIwJcT%2FaEhsfiUKQFAmOugkWK5GozlAhsLuBkJ9QDdehgHaltD2wSylWHUmoA96O14xekfscIL4hBNqnYEkfsyI3xCik3EjfPGOcufSJicWtBfmazrF0bUKFErJ%2BQdJla1uFzpbKTNuDuLqyXFS6gO8q58ZBqSSksCGPbcdjCuDmp72%2BQ%2F0P7d%2B%2BC9FNAJnHN%2FgiF3B8tO7PnKwMGk0%2Bcs6h8n12h7rOUE7I6WjBT4E%2B4IdC7fe6zl7ql%2F64Dc%2FjQTo3WOpNbF8ZW6sPtxvFdhCMwjMz5tgY6sQGfjuqHk0lo4HyZGOcbNhCKcS2oqTgU0LTgqI4zHpKBghsWhsTEDKqjQoPnVAfX%2BU%2FArNz%2FGfXDzFvqLaTOY8YUFV9ICdCT%2BCyQRXJiPlSu6p%2B8foWvkAyVcOncPBd3%2FD%2BNOmGhrWSEr5%2BwRczoj7BeQvd90WIyEFEuFIVNwP4GuM7VbNsq39fMCq9bghrsOrKkLD796UmvULK%2FfxKTjQ8sEcgJRvgJvaQGQCO1qJD2iOQ%3D&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20240909T034228Z&X-Amz-SignedHeaders=host&X-Amz-Expires=300&X-Amz-Credential=ASIAQ3PHCVTY63ICLMAN%2F20240909%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Signature=9e4b44b97844e9a32126b4920af16ebdf84d44426864ae9347d1a90e2b4049e4&hash=d84d07bea581989162b04b9a97a66964380ff51edf0002271d2eb6d2ead5d2cc&host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&pii=S0378778824005735&tid=spdf-bb010c5d-fe50-4a92-b875-bbbd668d0018&sid=9f1caed672cc6540619a5ce7501616f7ba80gxrqb&type=client&tsoh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&ua=031d5a03575053075d&rr=8c042b210c639cb7&cc=my
https://doi.org/10.1016/j.enbuild.2024.114457

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