A review of very short-term wind and solar power forecasting
R Tawn, J Browell - Renewable and Sustainable Energy Reviews, 2022 - Elsevier
Installed capacities of wind and solar power have grown rapidly over recent years, and the
pool of literature on very short-term (minutes-to hours-ahead) wind and solar forecasting has …
pool of literature on very short-term (minutes-to hours-ahead) wind and solar forecasting has …
Key technologies for smart energy systems: Recent developments, challenges, and research opportunities in the context of carbon neutrality
Energy crisis and environmental pollution have expedited the transition of the energy
system. Global use of low-carbon energy has increased from 1: 6.16 to 1: 5.37. Smart energy …
system. Global use of low-carbon energy has increased from 1: 6.16 to 1: 5.37. Smart energy …
Hybrid VMD-CNN-GRU-based model for short-term forecasting of wind power considering spatio-temporal features
Z Zhao, S Yun, L Jia, J Guo, Y Meng, N He, X Li… - … Applications of Artificial …, 2023 - Elsevier
Accurate and reliable short-term forecasting of wind power is vital for balancing energy and
integrating wind power into a grid. A novel hybrid deep learning model is designed in this …
integrating wind power into a grid. A novel hybrid deep learning model is designed in this …
Boosted ANFIS model using augmented marine predator algorithm with mutation operators for wind power forecasting
There are several major available renewable energies, such as wind power which can be
considered one of the most potential energy resources. Thus, wind power is a vital green …
considered one of the most potential energy resources. Thus, wind power is a vital green …
Point and interval forecasting of ultra-short-term wind power based on a data-driven method and hybrid deep learning model
D Niu, L Sun, M Yu, K Wang - Energy, 2022 - Elsevier
Accurate and reliable wind power forecasting (WPF) is significant for ensuring power
systems' economic operation and safe dispatching and for reducing the technical and …
systems' economic operation and safe dispatching and for reducing the technical and …
Efficient bootstrap stacking ensemble learning model applied to wind power generation forecasting
The use of wind energy plays a vital role in society owing to its economic and environmental
importance. Knowing the wind power generation within a specific time window is useful for …
importance. Knowing the wind power generation within a specific time window is useful for …
A deep asymmetric Laplace neural network for deterministic and probabilistic wind power forecasting
Accurate forecasting of wind power faces two challenges: 1) extracting more effective
information on power fluctuations from limited input features, and 2) constructing a suitable …
information on power fluctuations from limited input features, and 2) constructing a suitable …
Onshore and offshore wind power generation forecasting using a novel flexible time-varying fractional nonlinear grey model
High-precision prediction of onshore and offshore wind power generation (O-OWPG)
provides valuable reference for maximizing ecological-economic benefits. From a …
provides valuable reference for maximizing ecological-economic benefits. From a …
[HTML][HTML] More than accuracy: end-to-end wind power forecasting that optimises the energy system
Weather forecast models are essential for sustainable energy systems. However, forecast
accuracy may not be the best metric for develo** forecast models. A more or less …
accuracy may not be the best metric for develo** forecast models. A more or less …
[HTML][HTML] Adaptive ML-based technique for renewable energy system power forecasting in hybrid PV-Wind farms power conversion systems
Large scale integration of renewable energy system with classical electrical power
generation system requires a precise balance to maintain and optimize the supply–demand …
generation system requires a precise balance to maintain and optimize the supply–demand …