Results 31 to 40 of about 1,108 (256)

Comparison of irradiance forecasts from operational NWP model and satellite‐based estimates over Fennoscandia

Meteorological Applications, 2022
Accurate irradiance forecasts are needed for the growing solar energy industry also in Northern Europe. We have compared irradiance forecasts from an operational numerical weather prediction (NWP) model, a satellite‐based model, and persistence models ...
Viivi Kallio‐Myers, Aku Riihelä, David Schoenach, Erik Gregow, Thomas Carlund, Anders V. Lindfors   +5 more
doaj   +1 more source

How Can Probabilistic Solar Power Forecasts Be Used to Lower Costs and Improve Reliability in Power Spot Markets? A Review and Application to Flexiramp Requirements

IEEE Open Access Journal of Power and Energy, 2022
Net load uncertainty in electricity spot markets is rapidly growing. There are five general approaches by which system operators and market participants can use probabilistic forecasts of wind, solar, and load to help manage this uncertainty.
Benjamin F. Hobbs, Venkat Krishnan, Jie Zhang, Hendrik F. Hamann, Carlo Siebenschuh, Rui Zhang, Binghui Li, Li He, Paul Edwards, Haiku Sky, Ibrahim Krad, Evangelia Spyrou, Xin Fang, Yijiao Wang, Q. Xu, Shu Zhang   +15 more
doaj   +1 more source

Interpretable transformer based intra-day solar forecasting with spatiotemporal satellite and numerical weather prediction inputs

Energy and AI
With the increasing capacity addition of solar energy systems, solar forecasting is vital and cost-effective to mitigate solar variability and to support their operation.
Shanlin Chen, Tao Jing, Mengying Li, Hiu Hung Lee, Ming Chun Lam, Siqi Bu   +5 more
doaj   +1 more source

Prediction of Solar Power Using Near-Real Time Satellite Data

Energies, 2021
Solar energy production is affected by the attenuation of incoming irradiance from underlying clouds. Often, improvements in the short-term predictability of irradiance using satellite irradiance models can assist grid operators in managing intermittent ...
Abhnil Amtesh Prasad, Merlinde Kay
doaj   +1 more source

The role of spatio-temporal satellite-derived products and numerical weather forecasts in data-driven intra-day solar forecasting

Energy and AI
Accurate intra-day forecasting of global horizontal irradiance (GHI) and direct normal irradiance (DNI) is critical for the efficient operation of solar energy systems.
Shanlin Chen, Tao Jing, Dazhi Yang, Yuntian Chen, Mengying Li, Yinghao Chu   +5 more
doaj   +1 more source

Using Smart Persistence and Random Forests to Predict Photovoltaic Energy Production

Energies, 2018
Solar energy forecasting is an active research problem and a key issue to increase the competitiveness of solar power plants in the energy market. However, using meteorological, production, or irradiance data from the past is not enough to produce ...
Javier Huertas Tato, Miguel Centeno Brito   +1 more
doaj   +1 more source

Application of Machine Learning in Multi-Directional Model to Follow Solar Energy Using Photo Sensor Matrix

International Journal of Photoenergy, 2022
In this paper, we introduce a deep neural network (DNN) for forecasting the intra-day solar irradiance, photovoltaic PV plants, regardless of whether or not they have energy storage, can benefit from the work being done here.
P. Dhanalakshmi, V. Venkatesh, P. S. Ranjit, N. Hemalatha, S. Divyapriya, R. Sandhiya, Sumit Kushwaha, Asmita Marathe, Mekete Asmare Huluka   +8 more
doaj   +1 more source

Probabilistic Solar Forecasts as a Binary Event Using a Sky Camera

Energies, 2023
With the fast increase of solar energy plants, a high-quality short-term forecast is required to smoothly integrate their production in the electricity grids. Usually, forecasting systems predict the future solar energy as a continuous variable.
Mathieu David, Joaquín Alonso-Montesinos, Josselin Le Gal La Salle, Philippe Lauret   +3 more
doaj   +1 more source

Benchmarking of Different Approaches to Forecast Solar Irradiance

, 2009
24th European Photovoltaic Solar Energy Conference, 21-25 September 2009, Hamburg, Germany; 4199 ...
Pozo Vázquez, David, Remund, Jan, Müller, Stefan C., Traunmüller, Wolfgang, Steinmaurer, Gerald, Pozo Vázquez, D., Ruiz Arias, Jose Antonio, Lara Fanego, Vicente, Ramírez, Lourdes, Gastón, Martín, Kurz, Christian, Martin Pomares, Luis, Geijo, Carlos   +12 more
openaire   +2 more sources

Enhancing solar irradiance prediction precision: A stacked ensemble learning-based correction paradigm

Next Energy
Accurate solar irradiance prediction is critical for ensuring reliable control of solar energy systems. This study proposes a stacked ensemble learning model to correct daily solar irradiance forecasts derived from numerical weather prediction (NWP). The
Bo Tian, Ningbo Wang, Yuanxin Lin, Shuangquan Shao   +3 more
doaj   +1 more source