[HTML][HTML] A systematic review of machine learning applications in the operation of smart distribution systems
Due to climate changes happening in the past few years, the necessity for the integration of
renewable energy sources and other low-carbon technologies is ever-growing. With the …
renewable energy sources and other low-carbon technologies is ever-growing. With the …
[HTML][HTML] The second wind forecast improvement project (wfip2): general overview
Akish, E., L. Bianco, IV Djalalova, JM Wilczak, J. Olson, J. Freedman, C. Finley, and J. Cline,
2019: Measuring the impact of additional instrumentation on the skill of numerical weather …
2019: Measuring the impact of additional instrumentation on the skill of numerical weather …
[HTML][HTML] The second wind forecast improvement project (WFIP2): Observational field campaign
JM Wilczak, M Stoelinga, LK Berg… - Bulletin of the …, 2019 - journals.ametsoc.org
The Second Wind Forecast Improvement Project (WFIP2): Observational Field Campaign in:
Bulletin of the American Meteorological Society Volume 100 Issue 9 (2019) Jump to …
Bulletin of the American Meteorological Society Volume 100 Issue 9 (2019) Jump to …
Power and wind shear implications of large wind turbine scenarios in the US Central Plains
Continued growth of wind turbine physical dimensions is examined in terms of the
implications for wind speed, power and shear across the rotor plane. High-resolution …
implications for wind speed, power and shear across the rotor plane. High-resolution …
Variability in wind energy generation across the contiguous United States
SC Pryor, FW Letson… - Journal of Applied …, 2020 - journals.ametsoc.org
Variability in Wind Energy Generation across the Contiguous United States in: Journal of Applied
Meteorology and Climatology Volume 59 Issue 12 (2020) Jump to Content Jump to Main …
Meteorology and Climatology Volume 59 Issue 12 (2020) Jump to Content Jump to Main …
Hybrid and ensemble methods of two days ahead forecasts of electric energy production in a small wind turbine
The ability to forecast electricity generation for a small wind turbine is important both on a
larger scale where there are many such turbines (because it creates problems for networks …
larger scale where there are many such turbines (because it creates problems for networks …
Short‐Term Offshore Wind Power Prediction Based on Significant Weather Process Classification and Multitask Learning Considering Neighboring Powers
Z Yang, X Peng, X Zhang, J Song, B Wang… - Wind Energy, 2024 - Wiley Online Library
Offshore wind power is an important technology for low‐carbon power grids. To improve the
accuracy, a short‐term offshore wind power prediction method based on significant weather …
accuracy, a short‐term offshore wind power prediction method based on significant weather …
[HTML][HTML] Evaluating the economic impacts of improvements to the high-resolution rapid refresh (HRRR) numerical weather prediction model
Forecasts from numerical weather prediction (NWP) models play a critical role in many
sectors of the US economy. Improvements to operational NWP model forecasts are …
sectors of the US economy. Improvements to operational NWP model forecasts are …
Skillful seasonal prediction of wind energy resources in the contiguous United States
A key challenge with the wind energy utilization is that winds, and thus wind power, are
highly variable on seasonal to interannual timescales because of atmospheric variability …
highly variable on seasonal to interannual timescales because of atmospheric variability …
Estimating the economic impacts of improved wind speed forecasts in the United States electricity sector
Each year the US government makes significant investments in improving weather forecast
models. In this paper, we use a multidisciplinary approach to examine how utilities can …
models. In this paper, we use a multidisciplinary approach to examine how utilities can …