Prognostics and health management of wind energy infrastructure systems
The improvements in wind energy infrastructure have been a constant process throughout
many decades. There are new advancements in technology that can further contribute …
many decades. There are new advancements in technology that can further contribute …
A state-of-the-art review on wind power deterministic prediction
Z Tian - Wind Engineering, 2021 - journals.sagepub.com
With the continuous growth of wind power access capacity, the impact of intermittent and
volatile wind power generation on the grid is becoming more and more obvious, so the …
volatile wind power generation on the grid is becoming more and more obvious, so the …
Wind power prediction using ensemble learning-based models
Wind power is one of the most potential energies and the major available renewable energy
sources. Precisely predicting wind power production is essential for the management and …
sources. Precisely predicting wind power production is essential for the management and …
Bayesian CNN-BiLSTM and vine-GMCM based probabilistic forecasting of hour-ahead wind farm power outputs
The importance of the accurate forecasting of power outputsof wind-based generation
systems is increasing, as their contributions to the total system generation are rising …
systems is increasing, as their contributions to the total system generation are rising …
[HTML][HTML] Icing detection and prediction for wind turbines using multivariate sensor data and machine learning
Adverse weather events can significantly compromise the availability and economics of a
wind farm. This paper focuses on rotor icing detection, which constitutes a major challenge …
wind farm. This paper focuses on rotor icing detection, which constitutes a major challenge …
Overall equipment effectiveness as a metric for assessing operational losses in wind farms: a critical review of literature
KPB Sathler, K Salonitis, A Kolios - International Journal of …, 2023 - Taylor & Francis
To become more competitive, less dependent on financial support and more attractive for
investors, wind energy needs to reduce its final cost of energy. According to Levelized Cost …
investors, wind energy needs to reduce its final cost of energy. According to Levelized Cost …
Probabilistic forecasting of wind turbine icing related production losses using quantile regression forests
J Molinder, S Scher, E Nilsson, H Körnich, H Bergström… - Energies, 2020 - mdpi.com
A probabilistic machine learning method is applied to icing related production loss forecasts
for wind energy in cold climates. The employed method, called quantile regression forests, is …
for wind energy in cold climates. The employed method, called quantile regression forests, is …
[HTML][HTML] Skill and potential economic value of forecasts of ice accretion on wind turbines
Skill and Potential Economic Value of Forecasts of Ice Accretion on Wind Turbines in:
Journal of Applied Meteorology and Climatology Volume 59 Issue 11 (2020) Jump to …
Journal of Applied Meteorology and Climatology Volume 59 Issue 11 (2020) Jump to …
Convolutional neural network with dual inputs for time series ice prediction on rotor blades of wind turbines
Downtimes due to ice formation on rotor blades reduce the economic efficiency of wind
turbines. An accurate ice prediction is required to operate active de-icing measures such as …
turbines. An accurate ice prediction is required to operate active de-icing measures such as …
Ice prediction for wind turbine rotor blades with time series data and a deep learning approach
Reducing ice formation on wind turbine rotor blades is mandatory to increase the economic
viability of wind energy in cold regions. In our research, we propose a predictive anti-icing …
viability of wind energy in cold regions. In our research, we propose a predictive anti-icing …