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Comparative Analysis of Wind Speed Forecasting Using LSTM and SVM [PDF]
EAI Endorsed Transactions on Scalable Information Systems, 2020 The objective of this work is to present a comprehensive exploration of deep learning based wind forecasting model. The forecasting of speed of wind is called as the wind speed forecasting/prediction.
Satyam Gangwar, Vikram Bali, Ajay Kumar
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Probabilistic Prediction Intervals of Wind Speed Based on Explainable Neural Network
Frontiers in Energy Research, 2022 With the rapid growth of wind power penetration into modern power grids, wind speed forecasting plays an increasingly significant role in the planning and operation of electric power and energy systems.
Haoqi Huang, Yue Hong, Huaizhi Wang
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Correction of wind power forecasting by considering wind speed forecast error [PDF]
Journal of International Council on Electrical Engineering, 2015 With the high penetration level of wind power in power systems, wind power generation is necessary to participate in the generation scheduling to balance supply and demand. If a power system operator wants wind power generation to participate in generation scheduling, wind power should be forecasted accurately.
Woong Ko, Don Hur, Jong-Keun Park
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Deep Belief Networks With Genetic Algorithms in Forecasting Wind Speed
IEEE Access, 2019 Wind is one of the most essential sources of clean, renewable energy, and is, therefore, a critical element in responsible power consumption and production.
Kuo-Ping Lin, Ping-Feng Pai, Yi-Ju Ting
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Multi Scale Graph Wavenet for Wind Speed Forecasting [PDF]
2021 IEEE International Conference on Big Data (Big Data), 2021 Geometric deep learning has gained tremendous attention in both academia and industry due to its inherent capability of representing arbitrary structures. Due to exponential increase in interest towards renewable sources of energy, especially wind energy, accurate wind speed forecasting has become very important. .
Neetesh Rathore +4 more
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Wind Derivatives: Modeling and Pricing [PDF]
, 2013 Wind is considered to be a free, renewable and environmentally friendly source of energy. However, wind farms are exposed to excessive weather risk since the power production depends on the wind speed, the wind direction and the wind duration.
Zapranis, Achilleas +1 more
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Journal of Modern Power Systems and Clean Energy, 2016 Big wind farms must be integrated to power system. Wind power from big wind farms, with randomness, volatility and intermittent, will bring adverse impacts on the connected power system.
Gang Mu +4 more
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Short-term wind prediction using an ensemble of particle swarm optimised FIR filters [PDF]
, 2013 Due to the large and increasing penetration of wind power around the world, accurate power production forecasts are required to manage power systems and wind power plants.
Dowell, Jethro, Weiss, Stephan
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Frontiers in Energy Research, 2023 Due to the randomness and intermittency of wind, accurate and reliable wind speed prediction is of great importance to the safe and stable operation of power grid.
Xueyi Ai, Shijia Li, Haoxuan Xu
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Multistream Graph Attention Networks for Wind Speed Forecasting [PDF]
2021 IEEE Symposium Series on Computational Intelligence (SSCI), 2021 Reliable and accurate wind speed prediction has significant impact in many industrial sectors such as economic, business and management among others. This paper presents a new model for wind speed prediction based on Graph Attention Networks (GAT). In particular, the proposed model extends GAT architecture by equipping it with a learnable adjacency ...
Dogan Aykas, Siamak Mehrkanoon
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