Robust Short-Term Wind Speed Forecasting Using Adaptive Shallow Neural Networks

Robust Short-Term Wind Speed Forecasting Using Adaptive Shallow Neural Networks

Wind speed forecasting is necessary to integrate wind farms into power systems. In the past ten years, the forecasting models have become increasingly complex due to the development of arti-ficial intelligence methods and computing power. Simultaneously, the robustness of models has decreased since...

Full description

Saved in:

Bibliographic Details
Main Authors:	Matrenin P.V., Manusov V.Z., Igumnova E.A.
Format:	Article
Language:	English
Published:	Academy of Sciences of Moldova 2020-09-01
Series:	Problems of the Regional Energetics
Subjects:	short-term forecasting a wind energy
Online Access:	https://journal.ie.asm.md/assets/files/07_03_47_2020.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Short-term active power forecasting for wind farms using artificial neural networks
by: Thanh Hai Dinh, et al.
Published: (2025-03-01)

Short-term active power forecasting for wind farms using artificial neural networks
by: Thanh Hai Dinh, et al.
Published: (2025-03-01)

An Integrated CEEMDAN to Optimize Deep Long Short-Term Memory Model for Wind Speed Forecasting
by: Yingying He, et al.
Published: (2024-09-01)

Ultra-Short-Term Power Forecasting Method for Wind-Solar-Hydro Integration Based on Improved GRU-CNN
by: Xiaogang WU, et al.
Published: (2023-09-01)

Forecasting of Tropical Storm Wind Speeds Based on Multi-Step Differencing and Artificial Neural Network
by: Tianyou Tao, et al.
Published: (2025-02-01)

Enhanced Wind Energy Forecasting Using an Extended Long Short-Term Memory Model
by: Zachary Barbre, et al.
Published: (2025-04-01)

Advanced Wind Speed Forecasting: A Hybrid Framework Integrating Ensemble Methods and Deep Neural Networks for Meteorological Data
by: Daniel Díaz-Bedoya, et al.
Published: (2025-06-01)

A two-stage deep learning-based hybrid model for daily wind speed forecasting
by: Shahab S. Band, et al.
Published: (2025-01-01)

IDHNet: Ultra‐Short‐Term Wind Power Forecasting With IVMD–DCInformer–HSSA Network
by: Wei Li, et al.
Published: (2024-12-01)

Short-Term Wind Power Prediction Model Based on PSO-CNN-LSTM
by: Qingquan Lv, et al.
Published: (2025-06-01)

A deep reinforcement learning approach for wind speed forecasting
by: Shahab S. Band, et al.
Published: (2025-12-01)

Short-Term Wind Power Forecast Based on CNN&LSTM-GRU Model Integrated with CEEMD-SE Algorithm
by: Guohua YANG, et al.
Published: (2024-02-01)

Operational Forecasting of Wind Speed for an Self-Contained Power Assembly of a Traction Substation
by: P. V. Matrenin, et al.
Published: (2023-02-01)

Ultra-Short-Term Wind Power Forecasting Based on the MSADBO-LSTM Model
by: Ziquan Zhao, et al.
Published: (2024-11-01)

Spatial–Temporal Approach for Gridded Wind Forecasting Across Southwest Western Australia
by: Fuling Chen, et al.
Published: (2024-01-01)

A deterministic and probabilistic framework based on corrected wind speed to improve Short-Term wind power forecasting accuracy
by: Nuttapat Jittratorn, et al.
Published: (2025-09-01)

Implementing a Hybrid Quantum Neural Network for Wind Speed Forecasting: Insights from Quantum Simulator Experiences
by: Ying-Yi Hong, et al.
Published: (2025-04-01)

Ensemble of Artificial Neural Networks for Seasonal Forecasting of Wind Speed in Eastern Canada
by: Pia Leminski, et al.
Published: (2025-06-01)

Application research of wind profile radar in short-term heavy rainfall forecast of typhoon in Fujian Province
by: Zeng Jinyu, et al.
Published: (2024-12-01)

Optimizing Short-Term Water Demand Forecasting: A Comparative Approach to the Battle of Water Demand Forecasting
by: Bruno Ferreira, et al.
Published: (2024-09-01)

A Feasibility Analysis of Wind Energy Potential and Seasonal Forecasting Trends in Thatta District: A Project to Combat the Energy Crisis in Pakistan
by: Jahangeer Khan Bhutto, et al.
Published: (2025-01-01)

Ensemble machine learning model for forecasting wind farm generation
by: A. G. Rusina, et al.
Published: (2024-04-01)

Short-Term Power Prediction for Wind Farm and Solar Plant Clusters Based on Machine Learning Method
by: Yang CUI, et al.
Published: (2020-03-01)

Ultra-short-term prediction of spatio-temporal wind speed based on a hybrid deep learning model
by: Zixuan Chen, et al.
Published: (2025-06-01)

Analysis of the Processes of Short-Currents Limiting by Transformer with High-Temperature Superconducting Windings
by: Manusov V.Z., et al.
Published: (2017-04-01)

MIESTC: A Multivariable Spatio-Temporal Model for Accurate Short-Term Wind Speed Forecasting
by: Shaohan Li, et al.
Published: (2025-01-01)

Short-Term Urban Water Demand Forecasting Using an Improved NeuralProphet Model
by: Yao Yao, et al.
Published: (2024-09-01)

Short-Term Load Forecasting for Electrical Power Distribution Systems Using Enhanced Deep Neural Networks
by: Shewit Tsegaye, et al.
Published: (2024-01-01)

Hybrid Optimization based on Deep Learning Approach for Short-Term Load Forecast of Electricity Demand in Buildings
by: Charan Sekhar Makula, et al.
Published: (2024-06-01)

Short-Term Load Forecasting Based on Complementary Ensemble Empirical Mode Decomposition and Long Short-Term Memory
by: Huiru ZHAO, et al.
Published: (2020-06-01)

Short-Term Water Demand Forecasting Based on LSTM Using Multi-Input Data
by: Dingtong Wang, et al.
Published: (2024-09-01)

Short-Term Electrical Load Forecasting Through Optimally Configured Long Short-Term Memory
by: Somasundaram Vasudevan, et al.
Published: (2024-12-01)

Elastic Momentum-Enhanced Adaptive Hybrid Method for Short-Term Load Forecasting
by: Wenting Zhao, et al.
Published: (2025-06-01)

Enhancing wind power forecasting accuracy through LSTM with adaptive wind speed calibration (C-LSTM)
by: Ding Wang, et al.
Published: (2025-02-01)

Short-Term Load Forecasting Based on Pelican Optimization Algorithm and Dropout Long Short-Term Memories–Fully Convolutional Neural Network Optimization
by: Haonan Wang, et al.
Published: (2024-12-01)

A novel analysis of random forest regression model for wind speed forecasting
by: Sathyaraj J, et al.
Published: (2024-12-01)

Short-term Wind Speed Prediction Based on Wavelet Packet Decomposition and BP Neural Network
by: WANG Ning, et al.
Published: (2019-01-01)

Investigation of the Features Influencing the Accuracy of Wind Turbine Power Calculation at Short-Term Intervals
by: Pavel V. Matrenin, et al.
Published: (2024-10-01)

Monthly Runoff Forecasting by Non-Generalizing Machine Learning Model and Feature Space Transformation (Vakhsh River Case Study)
by: Matrenin P.V., et al.
Published: (2022-08-01)

A big data framework for short-term power load forecasting using heterogenous data
by: Haibo ZHAO, et al.
Published: (2022-12-01)