Results 41 to 50 of about 14,302 (309)

A Hybrid Framework for Short Term Multi-Step Wind Speed Forecasting Based on Variational Model Decomposition and Convolutional Neural Network

Energies, 2018
Wind speed is an important factor in wind power generation. Wind speed forecasting is complicated due to its highly nonstationary character. Therefore, this paper presents a hybrid framework for the development of multi-step wind speed forecasting based ...
Jianzhong Zhou, Han Liu, Yanhe Xu, Wei Jiang   +3 more
doaj   +1 more source

Wind Speed for Load Forecasting Models [PDF]

Sustainability, 2017
Temperature and its variants, such as polynomials and lags, have been the most frequently-used weather variables in load forecasting models. Some of the well-known secondary driving factors of electricity demand include wind speed and cloud cover. Due to the increasing penetration of distributed energy resources, the net load is more and more affected ...
Jingrui Xie, Tao Hong
openaire   +1 more source

Wind forecasting using Principal Component Analysis

, 2014
We present a new statistical wind forecasting tool based on Principal Component Analysis (PCA), which is trained on past data to predict the wind speed using an ensemble of dynamically similar past events.
Fruh, Wolf-Gerrit; id_orcid, C. Skittides, Skittides, Christina, W.-G. Früh   +3 more
core   +1 more source

Wind Speed Forecasting Via Structured Output Learning [PDF]

, 2018
In the context of the wind energy management, the study of time series data by means of a predictability analysis can be very helpful. For example, accurate wind speed forecasts are necessary to schedule dispatchable generation and tariffs in the day-ahead electricity market.
Appice, Annalisa, Lanza, Antonietta, Malerba, Donato   +2 more
openaire   +2 more sources

A cyclo-stationary complex multichannel wiener filter for the prediction of wind speed and direction

, 2013
This paper develops a linear predictor for application to wind speed and direction forecasting in time and across different sites. The wind speed and direction are modelled via the magnitude and phase of a complex-valued time-series.
Dowell, Jethro, Weiss, Stephan, Hill, David, Weiss, S., Infield, David   +4 more
core   +1 more source

A deep learning-based evolutionary model for short-term wind speed forecasting : A case study of the Lillgrund offshore wind farm

, 2021
Due to expanding global environmental issues and growing energy demand, wind power technologies have been studied extensively. Accurate and robust short-term wind speed forecasting is crucial for large-scale integration of wind power generation into the ...
Alexander, Bradley,, Alexander, B, Tjernberg, L.B., Garcia, Davide Astiaso,, Astiaso Garcia, D., Wagner, M., Astiaso Garcia, D, Abbasnejad, E., Nezhad, MM, Abbasnejad, E, Mirjalili, S, Mirjalili, Seyedali,, Wagner, Markus,, Wagner, M, Alexander, B., Neshat, M., Tjernberg, LB, Nezhad, Meysam Majidi,, Nezhad, M.M., Neshat, Mehdi,, Neshat, M, Abbasnejad, Ehsan,, Bertling, Lina,, Mirjalili, S.   +23 more
core   +1 more source

Wind Speed Forecasting Based on Extreme Gradient Boosting [PDF]

IEEE Access, 2020
As the integration of wind power into electrical energy network increasing, accurate forecast of wind speed becomes highly important in the case of large-scale wind power connected into the grid. In order to improve the accuracy of wind speed forecast and the generalization ability of the model, Extreme Gradient Boosting (XGBoost) as an improvement ...
Ren Cai, Sen Xie, Bozhong Wang, Ruijiang Yang, Daosen Xu, Yang He   +5 more
openaire   +2 more sources

Increased Risk of Sarcomas in Children With Congenital Anomalies: Findings From the Genetic Overlap Between Anomalies and Cancer in Kids (GOBACK) Registry Linkage Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Pediatric sarcomas are a heterogeneous group of tumors that contribute disproportionately to cancer mortality in children. Although congenital anomalies are among the strongest known risk factors for childhood cancer, the risk of specific sarcoma subtypes among affected individuals has not yet been thoroughly evaluated. Procedure We
Russ Wolters, Ji Yun Tark, Tiffany M. Chambers, Tania A. Desrosiers, Michael E. Scheurer, Charles Shumate, Wendy N. Nembhard, Mahsa M. Yazdy, Eirini Nestoridi, Amanda E. Janitz, Jean Paul Tanner, Russell S. Kirby, Jason L. Salemi, Yao Yu, Chad D. Huff, Sharon E. Plon, Philip J. Lupo, Jeremy M. Schraw   +17 more
wiley   +1 more source

A New Hybrid Approach for Wind Speed Forecasting Applying Support Vector Machine with Ensemble Empirical Mode Decomposition and Cuckoo Search Algorithm

Applied Sciences, 2018
Wind speed forecasting plays a crucial role in improving the efficiency of wind farms, and increases the competitive advantage of wind power in the global electricity market.
Tongxiang Liu, Shenzhong Liu, Jiani Heng, Yuyang Gao   +3 more
doaj   +1 more source

Forecasting Solar Wind Speeds

The Astrophysical Journal, 2006
5 pages, 2 figures embedded, ApJL, in ...
openaire   +2 more sources