New PSO-SVM Short-Term Wind Power Forecasting Algorithm Based on the CEEMDAN Model
Journal of Electrical and Computer Engineering, 2022 Accurate wind power forecasting can help reduce disturbance to the grid in wind power integration. In this paper, a short-term power forecasting model is established by using complete ensemble empirical mode decomposition adaptive noise (CEEMDAN) and ...
Hong You +5 more
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Short-Term Wind Power Prediction via Spatial Temporal Analysis and Deep Residual Networks
Frontiers in Energy Research, 2022 Wind power is a rapidly growing source of clean energy. Accurate short-term forecasting of wind power is essential for reliable energy generation. In this study, we propose a novel wind power forecasting approach using spatiotemporal analysis to enhance ...
Huajin Li
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Availability estimation of wind power forecasting and optimization of day-ahead unit commitment
Journal of Modern Power Systems and Clean Energy, 2019 Due to the uncertainty of the accuracy of wind power forecasting, wind turbines cannot be accurately equated with dispatchable units in the preparation of a day-ahead dispatching plan for power grid.
Yun Teng +4 more
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A Hybrid Wind Power Forecasting Model with XGBoost, Data Preprocessing Considering Different NWPs
Applied Sciences, 2021 In recent years, wind energy has become a competitively priced source of energy around the world, which has created increasing challenges for system operators. Accurate wind power generation forecasting plays an important role in power systems to improve
Quoc Thang Phan +2 more
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Power production forecast for distributed wind energy systems using support vector regression
Energy Science & Engineering, 2022 Due to the inherent intermittency in wind power production, reliable short‐term wind power production forecasting has become essential for the efficient grid and market integration of wind energy. The current wind power production forecasting schemes are
Ghali Yakoub +2 more
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Short-Term Wind Power Forecasting Using the Enhanced Particle Swarm Optimization Based Hybrid Method
Energies, 2013 High penetration of wind power in the electricity system provides many challenges to power system operators, mainly due to the unpredictability and variability of wind power generation.
Wen-Yeau Chang
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Neural Network Models for Wind Power Forecasting in Smart Cities- A review [PDF]
E3S Web of ConferencesUrbanization’s relentless advance intensifies the quest for sustainable energy sources, with smart cities leading the shift toward sustainability. In these innovative urban landscapes, wind power is pivotal in the clean energy paradigm.
Faujdar Pramod Kumar +3 more
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Wind Speed Ensemble Forecasting Based on Deep Learning Using Adaptive Dynamic Optimization Algorithm
IEEE Access, 2021 The development and deployment of an effective wind speed forecasting technology can improve the safety and stability of power systems with significant wind penetration.
Abdelhameed Ibrahim +6 more
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EURASIP Journal on Wireless Communications and Networking, 2019 The accuracy of wind power prediction is very important for the stable operation of a power system. Ultra-short-term wind speed forecasting is an effective way to ensure real-time and accurate wind power prediction. In this paper, a short-term wind speed
Jian He, Jingle Xu
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An integrated ultra short term power forecasting method for regional wind–pv–hydro
Energy Reports, 2023 Renewable-based multi energy power system is the main trend for power system in the future. However, the randomness and fluctuation of wind and photovoltaic power, as well as the seasonality of hydropower, have an increasingly prominent impact on the ...
Lizhi Dong +5 more
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