TLIA: Time-series forecasting model using long short-term memory integrated with artificial neural networks for volatile energy markets

ALA Dalal, AM AlRassas, MAA Al-qaness, Z Cai… - Applied Energy, 2023 - Elsevier
Due to weather and political fluctuations that significantly impact the production and price of
energy sources, enhancing data distribution and reducing data complexity is crucial to …

Exploring artificial intelligence methods for energy prediction in healthcare Facilities: An In-Depth extended systematic review

M FatehiJananloo, H Stopps, JJ McArthur - Energy and Buildings, 2024 - Elsevier
Hospitals, due to their complexity and unique requirements, play a pivotal role in global
energy consumption patterns. This study conducted a comprehensive literature review …

Using BIM and LCA to Calculate the Life Cycle Carbon Emissions of Inpatient Building: A Case Study in China

L Zhao, C Guo, L Chen, L Qiu, W Wu, Q Wang - Sustainability, 2024 - mdpi.com
Hospital buildings provide healthcare services at the costs of significant amounts of energy
consumption and carbon emissions, further exacerbating the environmental load. Because …

Spatio-temporal prediction of groundwater vulnerability based on CNN-LSTM model with self-attention mechanism: A case study in Hetao Plain, northern China

Y Zhao, L Yang, H Pan, Y Li, Y Shao, J Li… - Journal of Environmental …, 2024 - Elsevier
Located in northern China, the Hetao Plain is an important agro-economic zone and
population centre. The deterioration of local groundwater quality has had a serious impact …

Residual BiLSTM based hybrid model for short-term load forecasting in buildings

J Han, P Zeng - Journal of Building Engineering, 2024 - Elsevier
As the complexity and diversity of power systems continue to increase, the economic
operation of these systems faces growing challenges. In this context, accurate and reliable …

Machine learning for open-pit mining: a systematic review

SQ Liu, L Liu, E Kozan, P Corry, M Masoud… - … Journal of Mining …, 2025 - Taylor & Francis
Nowadays, open-pit mining is the large-scale extraction of valuable ore materials from the
surface with the use of modern mining equipment. If not operated properly, various …

[HTML][HTML] Machine learning-based energy monitoring method applied to the HVAC systems electricity demand of an Italian healthcare facility

M Zini, C Carcasci - Smart Energy, 2024 - Elsevier
The buildings energy consumption is a great part of Europe's overall energy demand. The
development of diagnostic methods capable of promptly alerting users in case of issues (eg …

The Importance of Investing in the Energy Refurbishment of Hospitals: Results of a Case Study in a Mediterranean Climate

RF De Masi, N Del Regno, A Gigante, S Ruggiero… - Sustainability, 2023 - mdpi.com
Because of the social importance of hospitals, characterized by energy-intensive users,
large-scale refurbishment projects for these types of buildings are required. With the aim of …

[HTML][HTML] VA-Creator—A Virtual Appliance Creator based on adaptive Neural Networks to generate synthetic power consumption patterns

M Meiser, B Duppe, I Zinnikus, A Anisimov - Energy and AI, 2024 - Elsevier
With the advent of the Smart Home domain and the increasingly widespread application of
Machine Learning (ML), obtaining power consumption data is becoming more and more …

The environmental sustainability study of an airport building system based on an integrated LCA-embodied energy (Emergy)-ANN analysis

F Xie, J Zhang, G Wu, C Zhang, H Wang - Sustainability, 2023 - mdpi.com
From a global perspective, the ecological sustainability of building systems has always been
a hot research topic, especially in China, where the annual amount of new construction is …