Results 21 to 30 of about 1,108 (256)
Short-term solar irradiance forecasting using convolutional neural networks and cloud imagery
Access to accurate, generalizable and scalable solar irradiance prediction is critical for smooth solar-grid integration, especially in the light of the accelerated global adoption of solar energy production.
Minsoo Choi +2 more
doaj +1 more source
The rapid penetration of photovoltaic generation reduces power grid inertia and increases the need for intelligent energy resources that can cope in real time with the imbalance between power generation and consumption.
Dilantha Haputhanthri +7 more
doaj +1 more source
Solar power generation is highly fluctuating due to its dependence on atmospheric conditions. The integration of this variable resource into the energy supply system requires reliable predictions of the expected power production as a basis for management
Sabrina Gentile +10 more
doaj +1 more source
Day-Ahead Prediction of Distributed Regional-Scale Photovoltaic Power
Day-ahead forecasts are required by electricity market investors to make informed decisions on the trading floor. Whereas it is relatively easier to predict the performance of a few large-scale photovoltaic (PV) systems, a large number of small-scale PV ...
Elisha C. Asiri +2 more
doaj +1 more source
Solar power forecasting with a day-ahead horizon has played an important role in the operational planning of generating units in power system operations. We aim to develop a solar power forecasting model suitable for a tropical climate, using Thailand as
Supachai Suksamosorn +2 more
doaj +1 more source
A Chaotic Approach on Solar Irradiance Forecasting [PDF]
Published in Proc.
Fathima, T. A. +4 more
openaire +2 more sources
Hour-Ahead Solar Irradiance Forecasting Using Multivariate Gated Recurrent Units
Variation in solar irradiance causes power generation fluctuations in solar power plants. Power grid operators need accurate irradiance forecasts to manage this variability.
Jessica Wojtkiewicz +3 more
doaj +1 more source
Long-Term Solar Irradiance Forecasting
The past decade has been characterized by considerable increase of the penetration level of solar photovoltaic systems in energy systems throughout the world. At the same time, solar irradiance has an intermittent nature. Thus, the efficient management of existing and new solar photovoltaic systems requires an accurate forecasting system of solar ...
Braga, D +3 more
openaire +3 more sources
New challenges in solar energy resource and forecasting in Greece
Aerosols and clouds are the most important constituents in the atmosphere that affect the incoming solar radiation, either directly through absorbing and scattering processes or indirectly by changing the optical properties and lifetime of clouds.
A. Kazantzidis +4 more
doaj +1 more source
Forecasting of Three Components of Solar irradiation for Building Applications [PDF]
Solar energy and the concept of passive architecture and Net Zero Energy buildings are being increased. For an optimal management of the building energy, a Model Predictive Control is generally used but requires an accurate building model and weather forecast.
Notton, Gilles +4 more
openaire +3 more sources

