Short-term wind power forecasting through stacked and bi directional LSTM techniques
Background Computational intelligence (CI) based prediction models increase the efficient
and effective utilization of resources for wind prediction. However, the traditional recurrent …
and effective utilization of resources for wind prediction. However, the traditional recurrent …
Research on Multi-Step Prediction of Short-Term Wind Power Based on Combination Model and Error Correction
H Li, Z Wang, B Shan, L Li - Energies, 2022 - mdpi.com
The instability of wind power poses a great threat to the security of the power system, and
accurate wind power prediction is beneficial to the large-scale entry of wind power into the …
accurate wind power prediction is beneficial to the large-scale entry of wind power into the …
A new hybrid wind power forecaster using the beveridge-nelson decomposition method and a relevance vector machine optimized by the ant lion optimizer
S Guo, H Zhao, H Zhao - Energies, 2017 - mdpi.com
As one of the most promising kinds of the renewable energy power, wind power has
developed rapidly in recent years. However, wind power has the characteristics of …
developed rapidly in recent years. However, wind power has the characteristics of …
Prediksi Jumlah Produksi Kelapa Sawit Dengan Menggunakan Metode Extreme Learning Machine (ELM)(Studi kasus: PT. Sandabi Indah Lestari Kota Bengkulu)
E Agasta, I Cholissodin, DE Ratnawati - … Teknologi Informasi dan Ilmu …, 2018 - j-ptiik.ub.ac.id
Kelapa sawit merupakan tanaman perkebunan yang menjadi sektor nomor satu di
Indonesia. Tanaman ini memiliki biaya dan hasil produksi yang lebih baik dibandingkan …
Indonesia. Tanaman ini memiliki biaya dan hasil produksi yang lebih baik dibandingkan …
Extreme learning approach with wavelet transform function for forecasting wind turbine wake effect to improve wind farm efficiency
I Mladenović, D Marković, M Milovančević… - Advances in Engineering …, 2016 - Elsevier
A wind turbine operating in the wake of another turbine and has a reduced power production
because of a lower wind speed after rotor. The flow field in the wake behind the first row …
because of a lower wind speed after rotor. The flow field in the wake behind the first row …
Analysis of offshore wind energy in Colombia: current status and future opportunities
L Arce, S Bayne - 2020 - ttu-ir.tdl.org
Offshore wind energy is a sustainable and innovative energy source. However, its
performance is extremely dependent on the local meteorology and oceanographic …
performance is extremely dependent on the local meteorology and oceanographic …
Artificial neural network based control of wind powered small scale DC generator
Brisk increase in the demand of hydrocarbon-based fuels to generate electricity is
contaminating the environment, which is increasing the quest for pure and clean resources …
contaminating the environment, which is increasing the quest for pure and clean resources …
RETRACTED ARTICLE: Prediction of economic growth by extreme learning approach based on science and technology transfer
P Karanikić, I Mladenović, S Sokolov-Mladenović… - Quality & Quantity, 2017 - Springer
The purpose of this research is to develop and apply the extreme learning machine (ELM) to
forecast gross domestic product (GDP) growth rate. Economic growth may be developed on …
forecast gross domestic product (GDP) growth rate. Economic growth may be developed on …
A combined forecasting method for renewable generations and loads in power systems
Z Wen, Y Li, Y Tan, Y Cao, S Tian - 2015 IEEE PES Asia-Pacific …, 2015 - ieeexplore.ieee.org
Accurate forecasting for" net load", ie, the difference between the renewable generations
and loads, are important for economical and secure dispatch of power systems. Of course, it …
and loads, are important for economical and secure dispatch of power systems. Of course, it …