A bi-directional missing data imputation scheme based on LSTM and transfer learning for building energy data

J Ma, JCP Cheng, F Jiang, W Chen, M Wang… - Energy and Buildings, 2020 - Elsevier
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 …

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 …

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 …

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 …

Changing wind speed distributions under future global climate

C Jung, D Schindler - Energy Conversion and Management, 2019 - Elsevier
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 …

Indoor environment data time-series reconstruction using autoencoder neural networks

A Liguori, R Markovic, TTH Dam, J Frisch… - Building and …, 2021 - Elsevier
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 …

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 …

[HTML][HTML] Empirical model of radio wave propagation in the presence of vegetation inside greenhouses using regularized regressions

D Cama-Pinto, M Damas, JA Holgado-Terriza… - Sensors, 2020 - mdpi.com
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 …

Radio wave attenuation measurement system based on RSSI for precision agriculture: Application to tomato greenhouses

D Cama-Pinto, JA Holgado-Terriza… - Inventions, 2021 - mdpi.com
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 …

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 …