A novel ensemble model for long-term forecasting of wind and hydro power generation
Power generation scenario modelling has become an integral part of long-term planning in
power system due to high penetration of variable renewable energy. It requires accurate …
power system due to high penetration of variable renewable energy. It requires accurate …
A dual-stage attention-based Bi-LSTM network for multivariate time series prediction
In the context of the big data era, time series data present the characteristics of high
dimensionality and nonlinearity, which bring great challenges to the prediction of …
dimensionality and nonlinearity, which bring great challenges to the prediction of …
Optimised operation of an off-grid hybrid wind-diesel-battery system using genetic algorithm
In an off-grid hybrid wind-diesel-battery system, the diesel generator is often not utilised
efficiently, therefore compromising its lifetime. In particular, the general rule of thumb of …
efficiently, therefore compromising its lifetime. In particular, the general rule of thumb of …
A survey on wind power forecasting with machine learning approaches
Wind power forecasting techniques have been well developed over the last half-century.
There has been a large number of research literature as well as review analyses. Over the …
There has been a large number of research literature as well as review analyses. Over the …
Long-term wind speed forecasting—A review
A Shobana Devi, G Maragatham, K Boopathi… - … for Advanced Computing …, 2020 - Springer
Wind speed plays a predominant role in the wind energy system. Forecasting of long-term
wind speed in certain diverse areas, for example, the optimal design of wind farms, energy …
wind speed in certain diverse areas, for example, the optimal design of wind farms, energy …
Performance analysis of machine learning techniques for wind speed prediction
ASM Irfan, NH Bhuiyan, M Hasan… - 2021 12th International …, 2021 - ieeexplore.ieee.org
One of the most potential energy sources in this current world is the energy of wind. It has
several advantages like its renewability, cost effectiveness and sustainability make it a great …
several advantages like its renewability, cost effectiveness and sustainability make it a great …
A new approach to short-term wind speed prediction: the prophet model
With the increasing integration of wind power systems into conventional power systems, an
accurate wind speed (WS) forecasting technique is essential for the reliable and stable …
accurate wind speed (WS) forecasting technique is essential for the reliable and stable …
Multi-time series and-time scale modeling for wind speed and wind power forecasting part I: Statistical methods, very short-term and short-term applications
This study concentrates on multi-time series and-time scale modeling in wind speed and
wind power forecasting. Different statistical models along with different time horizons are …
wind power forecasting. Different statistical models along with different time horizons are …
[PDF][PDF] Forecasting of short-term and long-term wind speed of ras gharib using time series analysis
OA Elkashaty, AA Daoud… - International Journal of …, 2023 - researchgate.net
The integration of renewable energy sources (RES) into the power grid has significantly
grown in response to the rise in energy demand. Since wind energy tends to be intermittent …
grown in response to the rise in energy demand. Since wind energy tends to be intermittent …
[PDF][PDF] The hidden-layers topology analysis of deep learning models in survey for forecasting and generation of the wind power and photovoltaic energy
D Xu, H Shao, X Deng, X Wang - CMES—Computer Modeling in …, 2022 - cdn.techscience.cn
As wind and photovoltaic energy become more prevalent, the optimization of power systems
is becoming increasingly crucial. The current state of research in renewable generation and …
is becoming increasingly crucial. The current state of research in renewable generation and …