A review of wind speed and wind power forecasting with deep neural networks

Applied Energy, Journal Year: 2021, Volume and Issue: 304, P. 117766 - 117766

Published: Sept. 10, 2021

Language: Английский

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Short-term offshore wind speed forecast by seasonal ARIMA - A comparison against GRU and LSTM

Energy, Journal Year: 2021, Volume and Issue: 227, P. 120492 - 120492

Published: March 30, 2021

Language: Английский

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Short-term offshore wind power forecasting - A hybrid model based on Discrete Wavelet Transform (DWT), Seasonal Autoregressive Integrated Moving Average (SARIMA), and deep-learning-based Long Short-Term Memory (LSTM)

Renewable Energy, Journal Year: 2021, Volume and Issue: 185, P. 611 - 628

Published: Dec. 22, 2021

Language: Английский

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Hybrid VMD-CNN-GRU-based model for short-term forecasting of wind power considering spatio-temporal features

Engineering Applications of Artificial Intelligence, Journal Year: 2023, Volume and Issue: 121, P. 105982 - 105982

Published: Feb. 22, 2023

Language: Английский

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A Machine Learning-Based Gradient Boosting Regression Approach for Wind Power Production Forecasting: A Step towards Smart Grid Environments

Energies, Journal Year: 2021, Volume and Issue: 14(16), P. 5196 - 5196

Published: Aug. 23, 2021

In the last few years, several countries have accomplished their determined renewable energy targets to achieve future requirements with foremost aim encourage sustainable growth reduced emissions, mainly through implementation of wind and solar energy. present study, we propose compare five optimized robust regression machine learning methods, namely, random forest, gradient boosting (GBM), k-nearest neighbor (kNN), decision-tree, extra tree regression, which are applied improve forecasting accuracy short-term generation in Turkish farms, situated west Turkey, on basis a historic data speed direction. Polar diagrams plotted impacts input variables such as direction examined. Scatter curves depicting relationships between produced turbine power for all methods predicted average is compared real from help error curves. The results demonstrate superior performance algorithm incorporating regression.

Language: Английский

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Time-series production forecasting method based on the integration of Bidirectional Gated Recurrent Unit (Bi-GRU) network and Sparrow Search Algorithm (SSA)

Journal of Petroleum Science and Engineering, Journal Year: 2021, Volume and Issue: 208, P. 109309 - 109309

Published: July 31, 2021

Language: Английский

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Point and interval forecasting of ultra-short-term wind power based on a data-driven method and hybrid deep learning model

Energy, Journal Year: 2022, Volume and Issue: 254, P. 124384 - 124384

Published: May 27, 2022

Language: Английский

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An Edge-AI Based Forecasting Approach for Improving Smart Microgrid Efficiency

IEEE Transactions on Industrial Informatics, Journal Year: 2022, Volume and Issue: 18(11), P. 7946 - 7954

Published: March 29, 2022

Smart Grid 2.0 is the energy Internet based on advanced metering infrastructure and distributed systems that require an instantaneous two-way flow of information. Edge computing benefits from its proximity to servers edge nodes smart grid systems, which can provide efficient low latency information transmission grid. With massive number Things being used, amount real-time power usage generated by represents a huge challenge for computing. To improve efficiency processing in this article combines different deep learning algorithms with analyze process renewable generation consumer data microgrid. Experiments two real-world datasets China Belgium show proposed framework obtain satisfactory prediction accuracy compared existing approaches.

Language: Английский

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A hybrid attention-based deep learning approach for wind power prediction

Applied Energy, Journal Year: 2022, Volume and Issue: 323, P. 119608 - 119608

Published: July 8, 2022

Language: Английский

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Wind Energy Scenario, Success and Initiatives towards Renewable Energy in India—A Review

Energies, Journal Year: 2022, Volume and Issue: 15(6), P. 2291 - 2291

Published: March 21, 2022

Power generation using wind has been extensively utilised, with substantial capacity add-on worldwide, during recent decades. The power energy sector is growing, and turned into a great source of renewable production. In the past decades 21st century, installed almost doubled every three years. This review paper presents crucial facets advancement strategies that were approved adopted by Government India for intensifying country’s own safety, appropriate use existing sources. From India’s viewpoint, not only utilized production but also to provide in more economical way. particulars total production, contributions numerous sources their demand are encompassed this paper. After an exhaustive literature, detailed facts have identified about present position energy, emphasis on government achievements, targets, initiatives, various strategic advances sector. Wind potential discussed, which can assist companies select efficient productive locations. All analyses carried out will be incredibly valuable future investors researchers. current scenario paralleled other globally prominent countries.

Language: Английский

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