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Paper Citation Record · LEDGER

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia

As of 17 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2412.13356.

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pith.paper-citation-record.v1
2412.13356 v1

Coverage vector

measured 54 of 54 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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A source-named dated measurement, never combined with another source.

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Reference resolution

54 of 54 outbound references displayed

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External citation measurements

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Outbound references

Observation 73062f5b-7cc9-4587-91e1-3aa0698d3825 · outbound

This paper cites an unresolved cited work.

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia Unresolved cited work

Reference 1

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This paper cites Renewable energy and climate cha nge,.

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia Renewable energy and climate cha nge,

Reference 2

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This paper cites Ex- Ante Analysis of Economic, Social and Environmental Impacts of Large -Scale Renewable and Nucl ear Energy Targets for Global Electricity Generation by 2030,.

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia Ex- Ante Analysis of Economic, Social and Environmental Impacts of Large -Scale Renewable and Nucl ear Energy Targets for Global Electricity Generation by 2030,

Reference 3

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Observation 9ca45040-8332-4ac8-8f90-9bab7af73780 · outbound

This paper cites Renewable and sustainable energy production in Saudi Arabia accordi ng to Saudi Vision 2030; Current status and future prospects,.

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia Renewable and sustainable energy production in Saudi Arabia accordi ng to Saudi Vision 2030; Current status and future prospects,

Reference 4

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Observation 18fd9322-1100-40e4-9180-ea85f762cc2f · outbound

This paper cites The Feasibility of the First Utility-Scale Wind Farm in Saudi Arabia (The 400 MW Dumat Al -Jandal Project),.

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia The Feasibility of the First Utility-Scale Wind Farm in Saudi Arabia (The 400 MW Dumat Al -Jandal Project),

Reference 5

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This paper cites Shu mway and D.

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia Shu mway and D

Reference 6

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Observation ad2ba87e-60db-4dc6-b9a6-04b3f2927d5c · outbound

This paper cites The Stationary Wavelet Transform and some Statistica l Applications,.

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia The Stationary Wavelet Transform and some Statistica l Applications,

Reference 7

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This paper cites Decomposition-based wind power foreca sting models and their boundary issue: An in -depth review and comprehensive discussion on potential solutions,.

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia Decomposition-based wind power foreca sting models and their boundary issue: An in -depth review and comprehensive discussion on potential solutions,

Reference 8

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Observation babcb0d5-d5c6-4cb6-a697-6804b2a00309 · outbound

This paper cites Time Series Models to Simulate and Forecast Wind Speed and Wind Power,.

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia Time Series Models to Simulate and Forecast Wind Speed and Wind Power,

Reference 9

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Observation 54063e9c-6569-4a66-b2fd-27ccacdc988b · outbound

This paper cites A comprehensive review on deep learning approaches in wind forecasting applications,.

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia A comprehensive review on deep learning approaches in wind forecasting applications,

Reference 10

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Observation f20129d1-35d1-4a5b-ba0e-c4828025ad77 · outbound

This paper cites Wind Speed Forecast ing: A Review,.

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia Wind Speed Forecast ing: A Review,

Reference 11

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Observation d49feb2b-1647-4a3f-bcd2-c434b1990446 · outbound

This paper cites A new approach to very short term wind speed prediction using K-nearest neighbor classification,.

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia A new approach to very short term wind speed prediction using K-nearest neighbor classification,

Reference 12

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Observation 567623b9-2504-4a76-aaa7-c235f770ef75 · outbound

This paper cites A wind speed forecasting approach based on 2 -dimensional input space,.

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia A wind speed forecasting approach based on 2 -dimensional input space,

Reference 13

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Observation 66f204f2-27be-477c-9c5a-b638eb4c8898 · outbound

This paper cites Application of Bayesian model averaging in modeling long -term wind speed distributions,.

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia Application of Bayesian model averaging in modeling long -term wind speed distributions,

Reference 15

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Source-reported events for the cited work

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Observation 60f09aae-806a-438a-bfd6-2644932f15d6 · outbound

This paper cites Short-term wind speed forecasting based on random forest model combining ensemble empirical mode decomposition and improved harmony search algorithm,.

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia Short-term wind speed forecasting based on random forest model combining ensemble empirical mode decomposition and improved harmony search algorithm,

Reference 16

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Observation bbb35001-101b-4cfd-aac7-cc408e417ff3 · outbound

This paper cites Statistical approach for improved wind speed forecasting for wind power production,.

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia Statistical approach for improved wind speed forecasting for wind power production,

Reference 17

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Observation 8b865c32-04de-4eff-82e1-91b8d36e7b04 · outbound

This paper cites Wi nd speed and wind energy forecast through Kalman filtering of Numerical Weather Prediction model output,.

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia Wi nd speed and wind energy forecast through Kalman filtering of Numerical Weather Prediction model output,

Reference 18

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Observation b014d622-4eec-47b1-9b81-fba7621c93de · outbound

This paper cites A new hybrid model for wind speed forecasting combining long short -term memory neural network, decomposition methods and grey wolf optimizer,.

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia A new hybrid model for wind speed forecasting combining long short -term memory neural network, decomposition methods and grey wolf optimizer,

Reference 19

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Observation 09e90e60-8a0b-4dca-b977-7a1c3520e70d · outbound

This paper cites Wind speed prediction model using singular spectrum analysis, empirical mode decomposition and convolutional support vector machine,.

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia Wind speed prediction model using singular spectrum analysis, empirical mode decomposition and convolutional support vector machine,

Reference 20

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This paper cites Research and application of a combined model based on variable weight for short term wind speed forecasting,.

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia Research and application of a combined model based on variable weight for short term wind speed forecasting,

Reference 21

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Observation f23fd761-619f-463d-ba96-9ed5fb4630ac · outbound

This paper cites Multi-step-ahead wind speed forecasting based on a hybrid decomposition method and temporal conv olutional networks,.

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia Multi-step-ahead wind speed forecasting based on a hybrid decomposition method and temporal conv olutional networks,

Reference 22

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Observation 687d4618-3319-4613-a3a7-0f957a50199b · outbound

This paper cites Empirical Mode Decomposition-k Nearest Neighbor Models for Wind Speed Forecasting,.

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia Empirical Mode Decomposition-k Nearest Neighbor Models for Wind Speed Forecasting,

Reference 23

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Observation 8aa473d6-b4e5-451f-87e3-ee4dd07d8c83 · outbound

This paper cites Efficient wind speed forecasting using discrete wavelet transform and artificial neural networks,.

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia Efficient wind speed forecasting using discrete wavelet transform and artificial neural networks,

Reference 24

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Observation 9ac5528a-7c36-45c5-ac6c-2f2dab9ae2ac · outbound

This paper cites Wind Speed Forecasting Using the Stationary Wavelet Transform and Quaternion Adaptive-Gradient Methods,.

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia Wind Speed Forecasting Using the Stationary Wavelet Transform and Quaternion Adaptive-Gradient Methods,

Reference 25

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This paper cites Decomposition -based hybrid wind speed forecasting model using deep bidirectional LSTM networks,.

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia Decomposition -based hybrid wind speed forecasting model using deep bidirectional LSTM networks,

Reference 26

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This paper cites Wind speed forecasting models based on data decomposition, feature selection and group method of data handling network,.

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia Wind speed forecasting models based on data decomposition, feature selection and group method of data handling network,

Reference 27

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Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia Unresolved cited work

Reference 28

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This paper cites Medium -term wind speeds forecasting utilizing hybrid models for three different sites in Xinjiang, China,.

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia Medium -term wind speeds forecasting utilizing hybrid models for three different sites in Xinjiang, China,

Reference 29

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Source-reported events for the cited work

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Observation 7cb9c1af-e951-45bb-a386-bf52da4a236c · outbound

This paper cites A novel hybrid approach for wind speed prediction,.

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia A novel hybrid approach for wind speed prediction,

Reference 30

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Observation 1e93773b-e24b-4be7-a650-8f9ebf62505d · outbound

This paper cites Wind Farm Power Prediction Considering Layout and Wake Effect: Case Study of Saudi Arabia,.

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia Wind Farm Power Prediction Considering Layout and Wake Effect: Case Study of Saudi Arabia,

Reference 31

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Observation 4f822c00-e321-46b3-a433-33f79ea00f3c · outbound

This paper cites Univariate Time Series Prediction of Wind speed with a case study of Yanbu, Saudi Arabia,.

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia Univariate Time Series Prediction of Wind speed with a case study of Yanbu, Saudi Arabia,

Reference 32

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Source-reported events for the cited work

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This paper cites Support vector machines for wind speed prediction,.

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia Support vector machines for wind speed prediction,

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation b37d842a-16e3-4736-85a1-c5e70341419e · outbound

This paper cites Forecasting Wind Speed using Artificial Neural Networks – A Case Study of a Potential Location of Saudi Arabia,.

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia Forecasting Wind Speed using Artificial Neural Networks – A Case Study of a Potential Location of Saudi Arabia,

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation fd5fc6b7-df24-43c9-9f1a-7931f172539f · outbound

This paper cites Prediction of Wind Speed Distribution Using Artificial Neural Network: The Case of Saudi Arabia,.

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia Prediction of Wind Speed Distribution Using Artificial Neural Network: The Case of Saudi Arabia,

Reference 35

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doi, observed 2026-08-11T13:16:49.651463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 0c384202-a236-4de3-8378-2e7a91a44f35 · outbound

This paper cites A neural networks approach for wind speed prediction,.

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia A neural networks approach for wind speed prediction,

Reference 36

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verified exact
doi, observed 2026-08-11T13:16:49.630415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 60109212-adb5-4920-a62b-5f4242df90a9 · outbound

This paper cites Short term prediction of wind speed based on long - short term memory networks,.

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia Short term prediction of wind speed based on long - short term memory networks,

Reference 37

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doi, observed 2026-08-11T13:16:49.606674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T13:16:49.128365Z digest=sha256:0b7a8f4227e26ff5546ed77aecc84baa769f3ed0a30de3e8faee3373f64fb601

Observation c76dd3e5-f3db-469c-b1b7-36a2b96e7083 · outbound

This paper cites Artificial Intelligence Based Hybrid Forecasting Approaches for Wind Power Generation: Progress, Challenges and Prospects,.

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia Artificial Intelligence Based Hybrid Forecasting Approaches for Wind Power Generation: Progress, Challenges and Prospects,

Reference 38

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 6dca011f-763c-45ab-8302-383ca8721325 · outbound

This paper cites Quilty and J.

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia Quilty and J

Reference 39

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verified exact
doi, observed 2026-08-11T13:16:49.575060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 32c70ee1-2d71-4106-abf0-824f92044246 · outbound

This paper cites Short -term wind speed prediction using empirical wavelet transform and Gaussian process regression,.

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia Short -term wind speed prediction using empirical wavelet transform and Gaussian process regression,

Reference 40

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doi, observed 2026-08-11T13:16:49.539781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 3355c9a5-d3f5-4263-8296-76646055be9b · outbound

This paper cites Burrus, R.

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia Burrus, R

Reference 41

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verified fuzzy
raw_fallback, observed 2026-08-11T13:16:52.082607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation b6f4bf0b-c7ce-41a3-a5b2-cbfb24d08a43 · outbound

This paper cites Designing Color Filters that Make Cameras MoreColorimetric.

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia Designing Color Filters that Make Cameras MoreColorimetric

Reference 42

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local_arxiv, observed 2026-08-11T13:16:50.590763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation b6571a11-7c51-4c2c-90d3-6ca6c4b2edcd · outbound

This paper cites Convolution wavelet packet transform and its applications to signal processing,.

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia Convolution wavelet packet transform and its applications to signal processing,

Reference 43

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doi, observed 2026-08-11T13:16:49.509907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 85e33748-29bc-4f1f-9c3b-68f06246f1c0 · outbound

This paper cites An ensemble method of full wavelet packet transform and neural network for short term electrical load forecasting,.

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia An ensemble method of full wavelet packet transform and neural network for short term electrical load forecasting,

Reference 44

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6e0e759c-0ab9-4b44-9201-50dfecf358cd · outbound

This paper cites A case study on a hybrid wind speed forecasting method using BP neural network,.

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia A case study on a hybrid wind speed forecasting method using BP neural network,

Reference 45

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doi, observed 2026-08-11T13:16:49.477925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation d7cc4616-ab04-46b0-9657-5a9db6f20bef · outbound

This paper cites Neural network forecasting for seasonal and trend time series,.

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia Neural network forecasting for seasonal and trend time series,

Reference 46

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doi, observed 2026-08-11T13:16:49.440402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation e8f4ef63-206c-4a20-b1f3-a031d80aec75 · outbound

This paper cites Short term load forecasting technique based on the seasonal exponential adjustment method and the regression model,.

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia Short term load forecasting technique based on the seasonal exponential adjustment method and the regression model,

Reference 47

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doi, observed 2026-08-11T13:16:49.416817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation c48c0a37-56bc-4e1c-9694-4dda214cb897 · outbound

This paper cites A trend fixed on firstly and seasonal adjustment model combined with the ε -SVR for short -term forecasting of electricity demand,.

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia A trend fixed on firstly and seasonal adjustment model combined with the ε -SVR for short -term forecasting of electricity demand,

Reference 48

Resolution
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doi, observed 2026-08-11T13:16:49.390887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T13:16:49.206009Z digest=sha256:ca369f5b4c59e46362f04055aedfdec2aab3487cb7842843ab5c5642e0bd3318

Observation 5dfd20c8-981a-4b2e-8dcd-f5c7b5eae0bb · outbound

This paper cites Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction.

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction

Reference 49

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no resolver link, observed 2026-08-11T13:16:49.211952Z

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Unavailable: canonical work link unavailable.

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Observation 53bccc5d-d027-42f8-804d-159bf3369edb · outbound

This paper cites Bidirectional LSTM -RNN-based hybrid deep learning frameworks for univariate time series classification,.

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia Bidirectional LSTM -RNN-based hybrid deep learning frameworks for univariate time series classification,

Reference 50

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Observation 65e3ddf3-3db9-49a7-9877-226097208ad1 · outbound

This paper cites Learning Temporal and Spat ial Correlations Jointly: A Unified Framework for Wind Speed Prediction,.

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia Learning Temporal and Spat ial Correlations Jointly: A Unified Framework for Wind Speed Prediction,

Reference 51

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:16:49.226703Z digest=sha256:d17ed837ad906610f479209420a86711abbb31520b722f514ebca08198e058c6

Observation be90a7d6-559a-477b-bf20-28e2664e65bb · outbound

This paper cites Evaluating the wind speed persistence for several wind stations in Peninsular Malaysia,.

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia Evaluating the wind speed persistence for several wind stations in Peninsular Malaysia,

Reference 52

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doi, observed 2026-08-11T13:16:49.326474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 79aeb63d-f433-4ecd-a760-df4e21924a33 · outbound

This paper cites KAPSARC Data Portal,.

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia KAPSARC Data Portal,

Reference 53

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raw_fallback, observed 2026-08-11T13:16:52.052065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T13:16:49.239307Z digest=sha256:0771ea4ea529b417f81a3596ab49bc863c0be76a29bc9c15e69b42b28154c477

Observation c70fa523-2bd9-4474-82fb-fc41fcabc51b · outbound

This paper cites Hourly wind speed forecasting based on support vector machine and artificial neural networks,.

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia Hourly wind speed forecasting based on support vector machine and artificial neural networks,

Reference 54

Resolution
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raw_fallback, observed 2026-08-11T13:16:52.024021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 7cd7784a-1459-49f7-ad2a-7eb68ca0d71b · outbound

This paper cites A hybrid deep learning - based neural network for 24 -h ahead wind power forecasting,.

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia A hybrid deep learning - based neural network for 24 -h ahead wind power forecasting,

Reference 55

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doi, observed 2026-08-11T13:16:49.303983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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