Journal ArticleDOI
Comparison of numerical weather prediction solar irradiance forecasts in the US, Canada and Europe
Richard Perez,Elke Lorenz,Sophie Pelland,Mark Beauharnois,Glenn Van Knowe,Karl Hemker,Detlev Heinemann,Jan Remund,Stefan Müller,Wolfgang Traunmüller,Gerald Steinmauer,David Pozo,José A. Ruiz-Arias,V. Lara-Fanego,Lourdes Ramirez-Santigosa,Martin Gaston-Romero,Luis Martin Pomare Pomares +16 more
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TLDR
In this article, three independent validations of global horizontal irradiance (GHI) multi-day forecast models were conducted in the US, Canada and Europe, and two models are common to the three validation efforts: the ECMWF global model and the GFS-driven WRF mesoscale model.About:
This article is published in Solar Energy.The article was published on 2013-08-01. It has received 288 citations till now. The article focuses on the topics: Global Forecast System & Navy Global Environmental Model.read more
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Accurate photovoltaic power forecasting models using deep LSTM-RNN
TL;DR: The use of long short-term memory recurrent neural network (LSTM-RNN) to accurately forecast the output power of PV systems and offers a further reduction in the forecasting error compared with the other methods.
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Photovoltaic and solar power forecasting for smart grid energy management
TL;DR: This paper provides a comprehensive review of the theoretical forecasting methodologies for both solar resource and PV power and applications of solar forecasting in energy management of smart grid are investigated in detail.
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History and trends in solar irradiance and PV power forecasting: A preliminary assessment and review using text mining
TL;DR: This paper presents a preliminary study on how to review solar irradiance and photovoltaic power forecasting using text mining, which serves as the first part of a forthcoming series of text mining applications in solar forecasting.
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A day-ahead PV power forecasting method based on LSTM-RNN model and time correlation modification under partial daily pattern prediction framework
TL;DR: Simulation results show that the proposed forecasting method with time correlation modification (TCM) is more accurate than the individual LSTM-RNN model, and the performance of the forecasting model can be further improved for those days with accurate daily pattern predictions under the proposed PDPP framework.
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Solar and photovoltaic forecasting through post‐processing of the Global Environmental Multiscale numerical weather prediction model
TL;DR: In this article, hourly solar and photovoltaic (PV) forecasts for horizons between 0 and 48h ahead were developed using Environment Canada's Global Environmental Multiscale model.
References
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A Description of the Advanced Research WRF Version 3
C. Skamarock,B. Klemp,Jimy Dudhia,O. Gill,Dale Barker,G. Duda,Xiang-Yu Huang,Wei Wang,G. Powers +8 more
TL;DR: The Technical Note series provides an outlet for a variety of NCAR manuscripts that contribute in specialized ways to the body of scientific knowledge but which are not suitable for journal, monograph, or book publication.
A Description of the Advanced Research WRF Version 2
William C. Skamarock,Joseph B. Klemp,Jimy Dudhia,David O. Gill,Dale Barker,Wei Wang,Jordan G. Powers +6 more
TL;DR: The Weather Research and Forecasting (WRF) model as mentioned in this paper was developed as a collaborative effort among the NCAR Mesoscale and Microscale Meteorology (MMM) Division, the National Oceanic and Atmospheric Administration's (NOAA) National Centers for Environmental Prediction (NCEP) and Forecast System Laboratory (FSL), the Department of Defense's Air Force Weather Agency (AFWA) and Naval Research Laboratory (NRL), the Center for Analysis and Prediction of Storms (CAPS) at the University of Oklahoma, and the Federal Aviation Administration (F
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The Advanced Regional Prediction System (ARPS) – A multi-scale nonhydrostatic atmospheric simulation and prediction model. Part I: Model dynamics and verification
TL;DR: The Advanced Regional Prediction System (ARPS) as mentioned in this paper is a non-hydrostatic model developed at the Center for Analysis and Prediction of Storms (CAPS) at the University of Oklahoma.
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Irradiance Forecasting for the Power Prediction of Grid-Connected Photovoltaic Systems
TL;DR: An approach to predict regional PV power output based on forecasts up to three days ahead provided by the European Centre for Medium-Range Weather Forecasts (ECMWF) and an approach to derive weather specific prediction intervals for irradiance forecasts are presented.
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A new operational model for satellite-derived irradiances: description and validation
TL;DR: In this paper, a simple model capable of exploiting geostationary satellite visible images for the production of site/time-specific global and direct irradiances is presented, which can also exploit operationally available snow cover resource data.