Results 61 to 70 of about 3,189,300 (321)
Multi-Step Short-Term Wind Speed Prediction with Rank Pooling and Fast Fourier Transformation [PDF]
arXiv, 2022 Short-term wind speed prediction is essential for economical wind power utilization. The real-world wind speed data is typically intermittent and fluctuating, presenting great challenges to existing shallow models. In this paper, we present a novel deep hybrid model for multi-step wind speed prediction, namely LR-FFT-RP-MLP/LSTM (Linear Fast Fourier ...
arxiv
Probabilistic wind speed forecasting on a grid based on ensemble model output statistics [PDF]
Annals of Applied Statistics 2015, Vol. 9, No. 3, 1328-1349, 2015 Probabilistic forecasts of wind speed are important for a wide range of applications, ranging from operational decision making in connection with wind power generation to storm warnings, ship routing and aviation. We present a statistical method that provides locally calibrated, probabilistic wind speed forecasts at any desired place within the ...
arxiv +1 more source
Molecular Oncology, EarlyView.The authors applied joint/mixed models that predict mortality of trifluridine/tipiracil‐treated metastatic colorectal cancer patients based on circulating tumor DNA (ctDNA) trajectories. Patients at high risk of death could be spared aggressive therapy with the prospect of a higher quality of life in their remaining lifetime, whereas patients with a ...
Matthias Unseld +7 more
wiley +1 more source
Molecular Oncology, EarlyView.This study explores how sepsis affects GC progression by creating an immunosuppressive environment. Our findings reveal that sepsis promotes immune dysregulation, enhancing tumor growth and metastasis. Targeting the PD‐1/PD‐L1 pathway with monoclonal antibodies shows potential for restoring immune function and improving outcomes in cancer patients ...
Yiding Wang +10 more
wiley +1 more source
IEEE Access, 2019 Wind power plants are becoming a generally accepted resource in the generation mix of many utilities. At the same time, the size and the power rating of individual wind turbines have increased considerably.
Angel Molina-Garcia +4 more
doaj +1 more source
A simple method to downscale daily wind statistics to hourly wind data [PDF]
arXiv, 2013 Wind is the principal driver in the wind erosion models. The hourly wind speed data were generally required for precisely wind erosion modeling. In this study, a simple method to generate hourly wind speed data from daily wind statistics (daily average and maximum wind speeds together or daily average wind speed only) was established. A typical windy
arxiv
On the transition from Slow to Fast Wind as Observed in Composition Observations [PDF]
A&A 694, A265 (2025)The solar wind is typically categorized as fast and slow based on the measured speed ($v_\mathrm{sw}$). The separation between these two regimes is often set between 400 and 600 km/s without a rigorous definition. Observations of the solar wind's kinetic signatures, chemical makeup, charge state properties, and Alfv\'enicity suggest that such a two ...
arxiv +1 more source
Wind Energy Science, 2019 . Most megawatt-scale wind turbines align themselves into the wind as defined by the wind speed at or near the center of the rotor (hub height). However, both wind speed and wind direction can change with height across the area swept by the turbine ...
P. Murphy, J. Lundquist, P. Fleming
semanticscholar +1 more source
Molecular Oncology, EarlyView.Large multidimensional digital images of cancer tissue are becoming prolific, but many challenges exist to automatically extract relevant information from them using computational tools. We describe publicly available resources that have been developed jointly by expert and non‐expert computational biologists working together during a virtual hackathon
Sandhya Prabhakaran +16 more
wiley +1 more source
A Method Based on Lorenz Disturbance and Variational Mode Decomposition for Wind Speed Prediction
Advances in Electrical and Computer Engineering, 2019 Wind power is one of the most promising means of power generation. But the time-varying of wind speed is the most fundamental problem for power generation control system. Therefore, accurate wind speed prediction becomes particularly important. However,
ZHANG, Y., GAO, S., BAN, M., SUN, Y.
doaj +1 more source