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 …

Missing value imputation for short to mid-term horizontal solar irradiance data

H Demirhan, Z Renwick - Applied Energy, 2018 - Elsevier
Improving the accuracy of solar irradiance forecasting has become crucial since the use of
solar energy power has become more accessible due to increased efficiency and decreased …

Short-term forecasting of global solar irradiance in tropical environments with incomplete data

LS Hoyos-Gómez, JF Ruiz-Muñoz, BJ Ruiz-Mendoza - Applied Energy, 2022 - Elsevier
Electricity access is a common issue around the world. Many countries that face this problem
are located in the tropical region and solar energy might be an alternative to mitigate this …

Developing a novel approach for missing data imputation of solar radiation: A hybrid differential evolution algorithm based eXtreme gradient boosting model

EE Başakın, Ö Ekmekcioğlu, M Özger - Energy Conversion and …, 2023 - Elsevier
Having sufficient and qualified datasets is of paramount importance in terms of
understanding the internal dynamics of the nature-related phenomenon. Given the necessity …

Providing a comprehensive understanding of missing data imputation processes in evapotranspiration-related research: a systematic literature review

EE Başakın, Ö Ekmekcioğlu… - Hydrological Sciences …, 2023 - Taylor & Francis
This study aimed to review the existing research focalizing on the missing data imputation
techniques for the systems enabling actual evapotranspiration calculation (such as eddy …

Solar resource assessment in Seville, Spain. Statistical characterisation of solar radiation at different time resolutions

S Moreno-Tejera, MA Silva-Pérez, I Lillo-Bravo… - Solar Energy, 2016 - Elsevier
The characterisation of the solar resource of a site is essential for different phases of solar
energy projects. While only rough estimates of yearly levels of solar irradiation (global or …

Short-term nonlinear autoregressive photovoltaic power forecasting using statistical learning approaches and in-situ observations

A Fentis, L Bahatti, M Tabaa, M Mestari - International Journal of Energy …, 2019 - Springer
Due to the low total cost of production, Photovoltaic energy constitutes an important part of
the renewable energy installed in the world. However, photovoltaic energy is volatile in …

Quantitative analysis of high-frequency radiometric databases. Application to the case of Seville

E Pérez-Aparicio, S Moreno-Tejera… - Theoretical and Applied …, 2024 - Springer
The short-term variability of solar resource is one of the main challenges faced by the large-
scale implementation of photovoltaic (PV) systems today; this will increase as the installed …

Solar irradiation data processing using estimator MatriceS (SIMS) validated for Portugal (southern europe)

HG Silva, EFM Abreu, FM Lopes, A Cavaco… - Renewable Energy, 2020 - Elsevier
Accurate solar resource assessment is essential in all the different phases of solar energy
systems design and implementation. On a local scale, the solar resource is best assessed …

Short-term forecasting of global solar irradiance with incomplete data

LS Hoyos-Gómez, JF Ruiz-Muñoz… - arXiv preprint arXiv …, 2021 - arxiv.org
Accurate mechanisms for forecasting solar irradiance and insolation provide important
information for the planning of renewable energy and agriculture projects as well as for …