Wind power generation: A review and a research agenda
SA Vargas, GRT Esteves, PM Maçaira… - Journal of Cleaner …, 2019 - Elsevier
The use of renewable energy resources, especially wind power, is receiving strong attention
from governments and private institutions, since it is considered one of the best and most …
from governments and private institutions, since it is considered one of the best and most …
Post-processing in solar forecasting: Ten overarching thinking tools
D Yang, D van der Meer - Renewable and Sustainable Energy Reviews, 2021 - Elsevier
Forecasts are always wrong, otherwise, they are merely deterministic calculations. Besides
leveraging advanced forecasting methods, post-processing has become a standard practice …
leveraging advanced forecasting methods, post-processing has become a standard practice …
[HTML][HTML] HESS Opinions: Incubating deep-learning-powered hydrologic science advances as a community
Recently, deep learning (DL) has emerged as a revolutionary and versatile tool transforming
industry applications and generating new and improved capabilities for scientific discovery …
industry applications and generating new and improved capabilities for scientific discovery …
An analog ensemble for short-term probabilistic solar power forecast
The energy produced by photovoltaic farms has a variable nature depending on
astronomical and meteorological factors. The former are the solar elevation and the solar …
astronomical and meteorological factors. The former are the solar elevation and the solar …
Short-term photovoltaic power forecasting using Artificial Neural Networks and an Analog Ensemble
A methodology based on Artificial Neural Networks (ANN) and an Analog Ensemble (AnEn)
is presented to generate 72 h deterministic and probabilistic forecasts of power generated …
is presented to generate 72 h deterministic and probabilistic forecasts of power generated …
[HTML][HTML] Impact of wind power uncertainty forecasting on the market integration of wind energy in Spain
I González-Aparicio, A Zucker - Applied energy, 2015 - Elsevier
The growing share of electricity production from variable renewable energy sources
increases the stochastic nature of the power system. This has repercussions on the markets …
increases the stochastic nature of the power system. This has repercussions on the markets …
Probabilistic predictions from deterministic atmospheric river forecasts with deep learning
WE Chapman, L Delle Monache… - Monthly Weather …, 2022 - journals.ametsoc.org
Deep-learning (DL) postprocessing methods are examined to obtain reliable and accurate
probabilistic forecasts from single-member numerical weather predictions of integrated …
probabilistic forecasts from single-member numerical weather predictions of integrated …
Comparison of numerical weather prediction based deterministic and probabilistic wind resource assessment methods
Numerical weather prediction (NWP) models have been widely used for wind resource
assessment. Model runs with higher spatial resolution are generally more accurate, yet …
assessment. Model runs with higher spatial resolution are generally more accurate, yet …
A comprehensive wind power forecasting system integrating artificial intelligence and numerical weather prediction
The National Center for Atmospheric Research (NCAR) recently updated the
comprehensive wind power forecasting system in collaboration with Xcel Energy addressing …
comprehensive wind power forecasting system in collaboration with Xcel Energy addressing …
[HTML][HTML] Analog-based ensemble model output statistics
C Junk, L Delle Monache… - Monthly Weather …, 2015 - journals.ametsoc.org
Analog-Based Ensemble Model Output Statistics in: Monthly Weather Review Volume 143
Issue 7 (2015) Jump to Content Jump to Main Navigation Logo Logo Logo Logo Logo Logo …
Issue 7 (2015) Jump to Content Jump to Main Navigation Logo Logo Logo Logo Logo Logo …