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Machine-learning methods for integrated renewable power generation: A comparative study of artificial neural networks, support vector regression, and Gaussian …
Renewable energy from wind and solar resources can contribute significantly to the
decarbonisation of the conventionally fossil-driven electricity grid. However, their seamless …
decarbonisation of the conventionally fossil-driven electricity grid. However, their seamless …
A review and discussion of decomposition-based hybrid models for wind energy forecasting applications
With the continuous growth of wind power integration into the electrical grid, accurate wind
power forecasting is an important component in management and operation of power …
power forecasting is an important component in management and operation of power …
Deep Learning for solar power forecasting—An approach using AutoEncoder and LSTM Neural Networks
Power forecasting of renewable energy power plants is a very active research field, as
reliable information about the future power generation allow for a safe operation of the …
reliable information about the future power generation allow for a safe operation of the …
A review of combined approaches for prediction of short-term wind speed and power
With the continuous increase of wind power penetration in power systems, the problems
caused by the volatile nature of wind speed and its occurrence in the system operations …
caused by the volatile nature of wind speed and its occurrence in the system operations …
Critical review of data, models and performance metrics for wind and solar power forecast
Global climatic changes and increased carbon footprints provided the main impetus for the
decrease in the use of fossil fuels for electricity generation and transportation. Matured …
decrease in the use of fossil fuels for electricity generation and transportation. Matured …
Current methods and advances in forecasting of wind power generation
Wind power generation differs from conventional thermal generation due to the stochastic
nature of wind. Thus wind power forecasting plays a key role in dealing with the challenges …
nature of wind. Thus wind power forecasting plays a key role in dealing with the challenges …
A review of wind power and wind speed forecasting methods with different time horizons
In recent years, environmental considerations have prompted the use of wind power as a
renewable energy resource. However, the biggest challenge in integrating wind power into …
renewable energy resource. However, the biggest challenge in integrating wind power into …
Review of performance optimization techniques applied to wind turbines
This paper presents a review of the optimization techniques and strategies applied to wind
turbine performance optimization. The topic is addressed by identifying the most significant …
turbine performance optimization. The topic is addressed by identifying the most significant …
Wind power forecasts using Gaussian processes and numerical weather prediction
Since wind at the earth's surface has an intrinsically complex and stochastic nature, accurate
wind power forecasts are necessary for the safe and economic use of wind energy. In this …
wind power forecasts are necessary for the safe and economic use of wind energy. In this …
Current status of wind energy forecasting and a hybrid method for hourly predictions
Generating accurate wind energy and/or power forecasts is crucially important for energy
trading and planning. The present study initially gives an extensive review of recent …
trading and planning. The present study initially gives an extensive review of recent …