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A bi-directional missing data imputation scheme based on LSTM and transfer learning for building energy data
Improving the energy efficiency of the buildings is a worldwide hot topic nowadays. To assist
comprehensive analysis and smart management, high-quality historical data records of the …
comprehensive analysis and smart management, high-quality historical data records of the …
Improving the accuracy of wind speed spatial interpolation: A pre-processing algorithm for wind speed dynamic time war** interpolation
X Chen, X Ye, X **ong, Y Zhang, Y Li - Energy, 2024 - Elsevier
Wind power is one of the most vital renewable energy resources in the world. Wind energy
production is directly correlated with the quality and quantity of wind speed data …
production is directly correlated with the quality and quantity of wind speed data …
Water resources availability in southern Europe at the basin scale in response to climate change scenarios
AJ Zapata-Sierra, L Zapata-Castillo… - Environmental Sciences …, 2022 - Springer
Background Climate and the hydrological cycle are closely linked; therefore, in the most
likely scenarios of climate change, the increase in temperature may influence the expected …
likely scenarios of climate change, the increase in temperature may influence the expected …
Experimental study on the periodicity of wake flow of a vertical staggered wind turbine fleet
L Zhang, Z Feng, P Pan, J Liang, W Tian, X Zhao… - Ocean …, 2024 - Elsevier
To optimize wind farm layout and micro-siting, this study analyzes the impact of different
numbers of small wind turbines on the wake region of a large wind turbine at varying yaw …
numbers of small wind turbines on the wake region of a large wind turbine at varying yaw …
Changing wind speed distributions under future global climate
Based on 12 global circulation models, the simulated changes in empirical 10 m wind speed
distributions under the representative concentration pathway RCP8. 5 were quantified. It is …
distributions under the representative concentration pathway RCP8. 5 were quantified. It is …
Indoor environment data time-series reconstruction using autoencoder neural networks
As the number of installed meters in buildings increases, there is a growing number of data
time-series that could be used to develop data-driven models to support and optimize …
time-series that could be used to develop data-driven models to support and optimize …
Variational auto-encoders based on the shift correction for imputation of specific missing in multivariate time series
J Li, W Ren, M Han - Measurement, 2021 - Elsevier
Data missing is a ubiquitous phenomenon in multivariate time series analysis because of
failure measurements, improper installation or other unfavorable factors. Most imputation …
failure measurements, improper installation or other unfavorable factors. Most imputation …
[HTML][HTML] Empirical model of radio wave propagation in the presence of vegetation inside greenhouses using regularized regressions
Spain is Europe's leading exporter of tomatoes harvested in greenhouses. The production of
tomatoes should be kept and increased, supported by precision agriculture to meet food and …
tomatoes should be kept and increased, supported by precision agriculture to meet food and …
Radio wave attenuation measurement system based on RSSI for precision agriculture: Application to tomato greenhouses
Precision agriculture and smart farming are concepts that are acquiring an important boom
due to their relationship with the Internet of Things (IoT), especially in the search for new …
due to their relationship with the Internet of Things (IoT), especially in the search for new …
A data enhancement-based quadratic imputation framework for consecutive missing values considering spatiotemporal characteristics of dam deformation
E Cao, T Bao, Y Liu, H Li, R Yuan, S Hu - Journal of Civil Structural Health …, 2024 - Springer
High-quality prototype observations are the basis for a comprehensive analysis of dam
structural behavior. However, missing values, especially consecutive missing values …
structural behavior. However, missing values, especially consecutive missing values …