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Restrictions and alternatives for the development data-based energy prediction models in buildings located in tropical climate: Literature review
J Cárdenas-Rangel, J Jaramillo-Ibarra… - Building and …, 2024 - Elsevier
Abstract–Prediction of energy consumption in buildings is the process that allows estimating
the amount of energy consumed in a specific future period. Typically, a predicted energy …
the amount of energy consumed in a specific future period. Typically, a predicted energy …
Office building energy consumption forecast: Adaptive long short term memory networks driven by improved beluga whale optimization algorithm
Z Feng, J An, M Han, X Ji, X Zhang, C Wang… - Journal of Building …, 2024 - Elsevier
With the development of urbanization, buildings have become a major source of energy
consumption. This research uses a data-driven approach to achieve accurate building …
consumption. This research uses a data-driven approach to achieve accurate building …
Forecasting building energy demand and on-site power generation for residential buildings using long and short-term memory method with transfer learning
This study evaluates the effectiveness of the long and short-term (LSTM) implementation
with a particular emphasis on assessing the impact of transfer learning techniques in …
with a particular emphasis on assessing the impact of transfer learning techniques in …
Development and calibration of apartment building energy model based on architectural and energy consumption characteristics
Building energy modeling is pivotal in achieving sustainable energy goals throughout a
building's design and operation. However, discrepancies often arise between actual energy …
building's design and operation. However, discrepancies often arise between actual energy …
Transfer learning integrating similarity analysis for short-term and long-term building energy consumption prediction
Currently, building energy consumption prediction models are usually based on a large
amount of historical operational data in high demands of building operating hours and …
amount of historical operational data in high demands of building operating hours and …
[HTML][HTML] Sustainability, emission trading system and carbon leakage: An approach based on neural networks and multicriteria analysis
Two transitions, green and digital, are changing the operations and strategies of industrial
systems. At the same time, businesses are challenged to be globally competitive. Europe …
systems. At the same time, businesses are challenged to be globally competitive. Europe …
[HTML][HTML] CRISP-DM-Based Data-Driven Approach for Building Energy Prediction Utilizing Indoor and Environmental Factors
The significant energy consumption associated with the built environment demands
comprehensive energy prediction modelling. Leveraging their ability to capture intricate …
comprehensive energy prediction modelling. Leveraging their ability to capture intricate …
Analysis and prediction of energy consumption in office buildings with variable refrigerant flow systems: A case study
X Zhou, N Wang, J Zou, G Liu, X Zhuang… - Journal of Building …, 2024 - Elsevier
Accurately predicting building air-conditioning energy consumption is particularly important
for energy management. However, for small datasets, there is a lack of simple and effective …
for energy management. However, for small datasets, there is a lack of simple and effective …
[HTML][HTML] Predicting the energy consumption of commercial buildings based on deep forest model and its interpretability
G Zheng, Z Feng, M Jiang, L Tan, Z Wang - Buildings, 2023 - mdpi.com
Building energy assessment models are considered to be one of the most informative
methods in building energy efficiency design, and most of the current building energy …
methods in building energy efficiency design, and most of the current building energy …
Improving LSTM forecasting through ensemble learning: a comparative analysis of various models
Z Ahmad, V Shanmugasundaram, Biju… - International Journal of …, 2024 - Springer
Supply chain management involves managing the entire manufacturing process, from
purchasing supplies to delivering the final product. Demand forecasting helps businesses …
purchasing supplies to delivering the final product. Demand forecasting helps businesses …