Journal ArticleDOI
A high-accuracy hybrid method for short-term wind power forecasting
TLDR
In this article, a high-accuracy hybrid approach for short-term wind power forecasting is proposed using historical data of wind farm and Numerical Weather Prediction (NWP) data.About:Â
This article is published in Energy.The article was published on 2022-01-01. It has received 30 citations till now. The article focuses on the topics: Wind power forecasting & Wind power forecasting.read more
Citations
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Journal ArticleDOI
Boosted ANFIS model using augmented marine predator algorithm with mutation operators for wind power forecasting
TL;DR: In this article , a new variant of the marine predator algorithm (MPA), called MPAmu, using additional mutation operators to augment the MPA to prevent its premature convergence on local optima.
Journal ArticleDOI
Multivariate wind speed forecasting based on multi-objective feature selection approach and hybrid deep learning model
Shengnan Lv,Lin Wang +1 more
TL;DR: In this article , the authors proposed an effective model for enhancing the short-term wind speed forecasting performance by considering the effect of multiple meteorological factors, which outperformed 16 benchmarks in four wind speed datasets.
Journal ArticleDOI
An Improved Data-Efficiency Algorithm Based on Combining Isolation Forest and Mean Shift for Anomaly Data Filtering in Wind Power Curve
Wei Wang,Shiyou Yang,Yankun Yang +2 more
TL;DR: An efficient algorithm based on the combination of an Isolation Forest and a mean-shift algorithm is proposed for data cleaning in wind power curves and the numerical results have positively confirmed the reliability of the universal framework provided by the proposed algorithm.
Journal ArticleDOI
Wind power prediction using random vector functional link network with capuchin search algorithm
Mohammed A. A. Al-qaness,Ahmed A. Ewees,Hong Fan,Laith Abualigah,Ammar H. Elsheikh,Mohamed Abd Elaziz +5 more
TL;DR: In this article , the authors presented an optimized Random Vector Functional Link (RVFL) network using a new naturally inspired technique called the Capuchin search algorithm (CapSA) to boost the configuration of the traditional RVFL and enhance its prediction capability.
Journal ArticleDOI
EGD-SNet: A computational search engine for predicting an end-to-end machine learning pipeline for Energy Generation & Demand Forecasting
Faiza Mehmood,Muhammad U. Ghani,Hina Ghafoor,Rehab Shahzadi,Muhammad Nabeel Asim,Waqar Mahmood +5 more
TL;DR: In this article , an end-to-end framework named Energy Generation and Demand forecasting Search Net (EGD-SNet) is presented, which is capable of predicting energy generation, demand and temperature in multiple regions.
References
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Journal ArticleDOI
Automatic Clustering Using an Improved Differential Evolution Algorithm
TL;DR: Differential evolution has emerged as one of the fast, robust, and efficient global search heuristics of current interest as mentioned in this paper, which has been applied to the automatic clustering of large unlabeled data sets.
Journal ArticleDOI
AWNN-Assisted Wind Power Forecasting Using Feed-Forward Neural Network
Kanna Bhaskar,Sri Niwas Singh +1 more
TL;DR: In this article, a statistical-based wind power forecasting without using numerical weather prediction (NWP) inputs is carried out in this work, which consists of two stages, in stage-I, wavelet decomposition of wind series was carried out and adaptive wavelet neural network (AWNN) was used to regress upon each decomposed signal, to predict wind speed up to 30 h ahead.
Journal ArticleDOI
Short-term wind power forecasting in Portugal by neural networks and wavelet transform
TL;DR: Artificial neural networks in combination with wavelet transform for short-term wind power forecasting in Portugal is proposed, taking into account the results obtained with other approaches.
Journal ArticleDOI
Hybrid Wavelet-PSO-ANFIS Approach for Short-Term Wind Power Forecasting in Portugal
TL;DR: A novel hybrid approach, combining wavelet transform, particle swarm optimization, and an adaptive-network-based fuzzy inference system, is proposed in this paper for short-term wind power forecasting in Portugal.
Journal ArticleDOI
Grid Integration Challenges of Wind Energy: A Review
TL;DR: The reported challenges caused by the integration of wind energy and the proposed solutions methodologies are reviewed and discussed and the solutions used and proposed to mitigate the impact of these challenges are discussed.
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