| Abstract |
There was an error in the original publication [1]. Reference [3] has been removed and will be replaced by “Gozgor, G.; Lau, C.K.M.; Lu, Z. Energy consumption and economic growth: New evidence from the OECD countries. Energy 2018, 153, 27–34”. Reference [4] has been removed and will be replaced by “D’Oca, S.; Hong, T.; Langevin, J. The human dimensions of energy use in buildings: A review. Renew. Sustain. Energy Rev. 2018, 81, 731–742”. Reference [6] has been removed and will be replaced by “Lampropoulos, I.; Alskaif, T.; Schram, W.; Bontekoe, E.; Coccato, S.; Van Sark, W. Review of energy in the built environment. Smart Cities 2020, 3, 248–288”. A correction has been made to Section 1, Paragraph Number 2 and 3: “monetary development” has been updated to “economic development”; A correction has been made to Section 2.1, Paragraph Number 1: “huge information” has been updated to “big data”; A correction has been made to Section 4, Paragraph Number 4: “information mining” has been updated to “data mining”; A correction has been made to Section 5, Table 9, row number 3: “keen framework” has been updated to “smart framework”; A correction has been made to Section 5, Table 9, row number 3: “pre-handling” has been updated to “preprocessing”. Reference [66] in the paragraph “The authors in [66] took five average building structures with energy usage information from 2015 to 2018 on two primary institutional grounds” will be replaced by reference [75]; reference [75] “Wang, W.; Hong, T.; Xu, X.; Chen, J.; Liu, Z.; Xu, N. Forecasting district-scale energy dynamics through integrating building network and long short-term memory learning algorithm. Appl. Energy 2019, 248, 217–230” will become the new reference [66]. Former reference [66] “Chen, C.; Liu, Y.; Kumar, M.; Qin, J. Energy Consumption Modelling Using Deep Learning Technique—A Case Study of EAF. Procedia CIRP 2018, 72, 1063–1068” will be updated as reference [67] due to reordering. A new reference, now numbered [76], will be added and titled “Lee, S.; Jung, S.; Lee, J. Prediction model based on an artificial neural network for user-based building energy consumption in South Korea. Energies 2019, 12, 608”, which will replace former reference [75] in Table 8. The 9th row of Table 8 will also be fully revised and will now read: ANNDailyEnergy Consumption Prediction of Households in South KoreaBuilding occupancy period, occupant details like gender, age, and income.Lee et al. [76] Reference [81] will be removed and replaced by a new reference, now numbered [82], titled “Deng, H.; Fannon, D.; Eckelman, M.J. Predictive modeling for US commercial building energy use: A comparison of existing statistical and machine learning algorithms using CBECS microdata. Energy Build. 2018, 163, 34–43”. Reference [91] will be removed and replaced by a new reference, now numbered [92], titled “Ahmad, T.; Chen, H.; Guo, Y.; Wang, J. A comprehensive overview on the data driven and large scale based approaches for forecasting of building energy demand. Energy Build. 2018, 165, 301–320”. The 9th row of Table 9 will be revised in order to reflect the new reference and will now read: Tanveer et al. [92]Energy and Buildings (2018)This paper gives a detailed review of machine learning models for estimating the energy consumption of buildings. With this correction, the order of some references has been adjusted accordingly. The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated. © 2025 by the authors. |
