Photovoltaic power forecasting: A hybrid deep learning model incorporating transfer learning strategy
Y Tang, K Yang, S Zhang, Z Zhang - Renewable and Sustainable Energy …, 2022 - Elsevier
Accurate forecasting of photovoltaic power is essential in the integration, operation, and
scheduling of hybrid grid systems. In particular, modeling for newly built photovoltaic sites is …
scheduling of hybrid grid systems. In particular, modeling for newly built photovoltaic sites is …
Feature selection and extraction in spatiotemporal traffic forecasting: a systematic literature review
D Pavlyuk - European Transport Research Review, 2019 - Springer
A spatiotemporal approach that simultaneously utilises both spatial and temporal
relationships is gaining scientific interest in the field of traffic flow forecasting. Accurate …
relationships is gaining scientific interest in the field of traffic flow forecasting. Accurate …
A guideline to solar forecasting research practice: Reproducible, operational, probabilistic or physically-based, ensemble, and skill (ROPES)
D Yang - Journal of Renewable and Sustainable Energy, 2019 - pubs.aip.org
Over the past decade, significant progress in solar forecasting has been made.
Nevertheless, there are concerns about duplication, long-term value, and reproducibility; this …
Nevertheless, there are concerns about duplication, long-term value, and reproducibility; this …
Probabilistic models for spatio-temporal photovoltaic power forecasting
Photovoltaic (PV) power generation is characterized by significant variability. Accurate PV
forecasts are a prerequisite to securely and economically operating electricity networks …
forecasts are a prerequisite to securely and economically operating electricity networks …
SolarData: An R package for easy access of publicly available solar datasets
D Yang - Solar Energy, 2018 - Elsevier
Although the applications of data science and machine learning in solar engineering have
increased tremendously in the past decade, most of the solar datasets come from …
increased tremendously in the past decade, most of the solar datasets come from …
Review on spatio-temporal solar forecasting methods driven by in situ measurements or their combination with satellite and numerical weather prediction (NWP) …
L Benavides Cesar, R Amaro e Silva… - Energies, 2022 - mdpi.com
To better forecast solar variability, spatio-temporal methods exploit spatially distributed solar
time series, seeking to improve forecasting accuracy by including neighboring solar …
time series, seeking to improve forecasting accuracy by including neighboring solar …
A flexible and robust deep learning-based system for solar irradiance forecasting
II Prado-Rujas, A García-Dopico, E Serrano… - IEEE …, 2021 - ieeexplore.ieee.org
Most studies about the solar forecasting topic do not analyze and exploit the temporal and
spatial components that are inherent to such a task. Furthermore, they mostly focus just on …
spatial components that are inherent to such a task. Furthermore, they mostly focus just on …
OpenSolar: Promoting the openness and accessibility of diverse public solar datasets
Observational solar data is the foundation of data-driven research in solar power grid
integration and power system operations. Compared to other fields in data science, the …
integration and power system operations. Compared to other fields in data science, the …
Photovoltaic power forecasting: A dual-attention gated recurrent unit framework incorporating weather clustering and transfer learning strategy
Y Tang, K Yang, S Zhang, Z Zhang - Engineering Applications of Artificial …, 2024 - Elsevier
Accurate forecasting of photovoltaic power is essential in the integration, operation, and
scheduling of hybrid energy systems. However, modeling for newly built photovoltaic sites is …
scheduling of hybrid energy systems. However, modeling for newly built photovoltaic sites is …
Multibranch attentive gated resnet for short-term spatio-temporal solar irradiance forecasting
The increasing penetration of solar generation into power grids has promoted the need for
accurate and reliable short-term solar irradiance forecasting. This article introduces a novel …
accurate and reliable short-term solar irradiance forecasting. This article introduces a novel …