Journal ArticleDOI
Real-time prediction models for output power and efficiency of grid-connected solar photovoltaic systems
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TLDR
In this paper, the authors developed new real-time prediction models for output power and energy efficiency of solar photovoltaic (PV) systems using measured data of a grid-connected solar PV system in Macau.About:
This article is published in Applied Energy.The article was published on 2012-05-01. It has received 95 citations till now. The article focuses on the topics: Photovoltaic system & Solar irradiance.read more
Citations
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Online Short-term Solar Power Forecasting
TL;DR: The method is suited to online forecasting in many applications and in this paper it is used to predict hourly values of solar power for horizons of up to 36 h, where the results indicate that for forecasts up to 2 h ahead the most important input is the available observations ofSolar power, while for longer horizons NWPs are theMost important input.
Journal ArticleDOI
Zero energy buildings and sustainable development implications ― A review
TL;DR: In this paper, a review of the works related to these two strategies is presented and issues pertaining to sustainable development implications and further research work required are also highlighted, including life cycle cost and environmental impacts, climate change and social policy issues.
Measured Performance of a 1.72 kW Rooftop Grid Connected Photovoltaic System in Ireland
TL;DR: In this paper, the authors present results obtained from monitoring a 1.72kWp photovoltaic system installed on a flat roof of a 12m high building in Dublin, Ireland (latitude 53.4°N and longitude 6.3°E).
Journal ArticleDOI
Characterization of PV panel and global optimization of its model parameters using genetic algorithm
Mahmoud S Ismail,Mahmoud Moghavvemi,Mahmoud Moghavvemi,Teuku Meurah Indra Mahlia,Teuku Meurah Indra Mahlia +4 more
TL;DR: In this paper, an improved modeling technique for a photovoltaic (PV) module was proposed, utilizing the optimization ability of a genetic algorithm, with different parameters of the PV module being computed via this approach.
Journal ArticleDOI
Artificial neural network based daily local forecasting for global solar radiation
Badia Amrouche,Xavier Le Pivert +1 more
TL;DR: In this paper, a new methodology for local forecasting of daily global horizontal irradiance (GHI) is proposed, which is a combination of spatial modelling and artificial neural networks (ANNs) techniques.
References
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Journal ArticleDOI
Improvement and validation of a model for photovoltaic array performance
TL;DR: The five-parameter model is of interest because it requires only a small amount of input data available from the manufacturer and therefore it provides a valuable tool for energy prediction, and could be improved if manufacturer’s data included information at two radiation levels.
Journal ArticleDOI
Online short-term solar power forecasting
TL;DR: In this paper, a two-stage method is proposed to forecast hourly values of solar power for horizons of up to 36 h. The results indicate that for forecasts up to 2 hours ahead, the most important input is the available observations of PV power, while for longer horizons numerical weather predictions (NWPs) are the more important input.
Online Short-term Solar Power Forecasting
TL;DR: The method is suited to online forecasting in many applications and in this paper it is used to predict hourly values of solar power for horizons of up to 36 h, where the results indicate that for forecasts up to 2 h ahead the most important input is the available observations ofSolar power, while for longer horizons NWPs are theMost important input.
Journal ArticleDOI
Predicting solar radiation at high resolutions: A comparison of time series forecasts
TL;DR: In this paper, the authors used regressions in logs, Autoregressive Integrated Moving Average (ARIMA), and Unobserved Components models to forecast radiation over short time horizons.
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