Results 11 to 20 of about 1,108 (256)
Solar Irradiation Forecasting using Genetic Algorithms
CoRR, 2021 Renewable energy forecasting is attaining greater importance due to its constant increase in contribution to the electrical power grids. Solar energy is one of the most significant contributors to renewable energy and is dependent on solar irradiation.
V. Gunasekaran +3 more
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Solar irradiance prediction using reinforcement learning pre-trained with limited historical data
Energy Reports, 2023 Accurate day-ahead forecasting of solar irradiance is crucial for maintaining a steady power supply and minimizing energy losses. To date, various solar irradiance prediction models have been established, but these typically require extensive weather ...
Byung-Ki Jeon, Eui-Jong Kim
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A deep attention-driven model to forecast solar irradiance [PDF]
2021 IEEE 19th International Conference on Industrial Informatics (INDIN), 2021 Accurately forecasting solar irradiance is indispensable in optimally managing and designing photovoltaic systems. It enables the efficient integration of photovoltaic systems in the smart grid. This paper introduces an innovative deep attention-driven model for solar irradiance forecasting.
Abdelkader Dairi +2 more
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Direct Normal Irradiance Forecasting Using Multivariate Gated Recurrent Units
Energies, 2020 Power grid operators rely on solar irradiance forecasts to manage uncertainty and variability associated with solar power. Meteorological factors such as cloud cover, wind direction, and wind speed affect irradiance and are associated with a high degree ...
Majid Hosseini +5 more
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A new sky imager based global irradiance forecasting model with analyses of cirrus situations
Meteorologische Zeitschrift, 2021 High resolution irradiance forecasts based on sky imagers are valuable for applications that require short term decisions based on ramps of solar irradiance.
Anna Dittmann +2 more
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Probabilistic Solar Forecasting Using Quantile Regression Models
Energies, 2017 In this work, we assess the performance of three probabilistic models for intra-day solar forecasting. More precisely, a linear quantile regression method is used to build three models for generating 1 h–6 h-ahead probabilistic forecasts. Our approach is
Philippe Lauret +2 more
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Data-driven forecasting of solar irradiance
CoRR, 2018 Published in French In EGC 2018, vol.
Pierrick Bruneau +2 more
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Solar Irradiance Forecasting with Transformer Model
Applied Sciences, 2022 Solar energy is one of the most popular sources of renewable energy today. It is therefore essential to be able to predict solar power generation and adapt energy needs to these predictions. This paper uses the Transformer deep neural network model, in which the attention mechanism is typically applied in NLP or vision problems. Here, it is extended by
Jiří Pospíchal +2 more
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Energies, 2015 Availability of effective estimation of the power profiles of photovoltaic systems is essential for studying how to increase the share of intermittent renewable sources in the electricity mix of many countries.
Gianfranco Chicco +4 more
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Quaternion based solar irradiance forecast
Chemical Engineering Transactions, 2022 This research proposes a new method based on quaternion rotations to calculate the expected irradiance from the Sun to a given surface. The method uses quaternion rotations and translation vectors to model the motions of objects, both proper and relative to each other, that are relevant for irradiance. Using quaternion rotations, objects can be rotated
Knolmajer Attila +2 more
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