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A review of modern wind power generation forecasting technologies
WC Tsai, CM Hong, CS Tu, WM Lin, CH Chen - Sustainability, 2023 - mdpi.com
The prediction of wind power output is part of the basic work of power grid dispatching and
energy distribution. At present, the output power prediction is mainly obtained by fitting and …
energy distribution. At present, the output power prediction is mainly obtained by fitting and …
Short-term offshore wind speed forecast by seasonal ARIMA-A comparison against GRU and LSTM
Offshore wind power is one of the fastest-growing energy sources worldwide, which is
environmentally friendly and economically competitive. Short-term time series wind speed …
environmentally friendly and economically competitive. Short-term time series wind speed …
Renewable energy forecasting based on stacking ensemble model and Al-Biruni earth radius optimization algorithm
Introduction: Wind speed and solar radiation are two of the most well-known and widely
used renewable energy sources worldwide. Coal, natural gas, and petroleum are examples …
used renewable energy sources worldwide. Coal, natural gas, and petroleum are examples …
Accuracy of a short-term wind power forecasting model based on deep learning using LiDAR-SCADA integration: A case study of the 400-MW Anholt offshore wind …
D Kim, G Ryu, C Moon, B Kim - Applied Energy, 2024 - Elsevier
Countries are increasingly investing in various renewable energy facilities to meet their
national greenhouse gas reduction targets. This has led to an increase in highly variable …
national greenhouse gas reduction targets. This has led to an increase in highly variable …
Smart Reserve Planning Using Machine Learning Methods in Power Systems with Renewable Energy Sources
S Atiç, E Izgi - Sustainability, 2024 - mdpi.com
Estimation of the power obtained from intermittent renewable energy sources (IRESs) is an
important issue for the integration of these power plants into the power system. In this study …
important issue for the integration of these power plants into the power system. In this study …
[HTML][HTML] A multi-hour ahead wind power forecasting system based on a WRF-TOPSIS-ANFIS model
Y **ng, FS Lien, W Melek, E Yee - Energies, 2022 - mdpi.com
Wind is a renewable and green energy source that is vital for sustainable human
development. Wind variability implies that wind power is random, intermittent, and volatile …
development. Wind variability implies that wind power is random, intermittent, and volatile …
Wind power error compensation prediction model based on CEEMD-SE-ELM-TCN
X Zhang, M Yang, N Liu, R Guo… - International Journal of …, 2024 - academic.oup.com
Wind power generation holds immense importance in addressing the issue of global energy
shortage, while precise wind power forecasting proves essential for effective management …
shortage, while precise wind power forecasting proves essential for effective management …
[PDF][PDF] A Reference Modelling Approach for Cost Optimal Maintenance for Offshore Wind Farms. Sustainability 2024, 16, 8352
This paper presents a novel reference model designed to optimize the integration of
preventive and predictive maintenance strategies for offshore wind farms (OWFs) …
preventive and predictive maintenance strategies for offshore wind farms (OWFs) …
[PDF][PDF] Short-Term Load Forecasting Models: A Review of Challenges, Progress and the Road Ahead. Energies 2023, 16, 4060
Short-term load forecasting (STLF) is critical for the energy industry. Accurate predictions of
future electricity demand are necessary to ensure power systems' reliable and efficient …
future electricity demand are necessary to ensure power systems' reliable and efficient …
[PDF][PDF] The Short-Term Wind Power Forecasting by Utilizing Machine Learning and Hybrid Deep Learning Frameworks
VS Sunku, V Namboodiri, R Mukkamala - ibn.idsi.md
Wind power has become more popular due to an increase in energy demand and the rapid
decline in conventional fossil fuels. This paper addresses the rising demand for accurate …
decline in conventional fossil fuels. This paper addresses the rising demand for accurate …