Solar irradiance forecasting based on direct explainable neural network
Sign Up to like & getrecommendations! Published in 2020 at "Energy Conversion and Management"
DOI: 10.1016/j.enconman.2020.113487
Abstract: Abstract As the penetration of solar energy into electrical power and energy system expands in recent years over the world, accurate solar irradiance forecasting is becoming highly important. However, the existing solar irradiance forecasting methods… read more here.
Keywords: network; irradiance forecasting; explainable neural; solar irradiance ... See more keywords
A Flexible and Robust Deep Learning-Based System for Solar Irradiance Forecasting
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3051839
Abstract: Most studies about the solar forecasting topic do not analyze and exploit the temporal and spatial components that are inherent to such a task. Furthermore, they mostly focus just on precision and not on other… read more here.
Keywords: irradiance forecasting; deep learning; solar irradiance; irradiance ... See more keywords
A Graph Neural Network Based Deep Learning Predictor for Spatio-Temporal Group Solar Irradiance Forecasting
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2021.3133289
Abstract: The fast growth of photovoltaic (PV) power generation raises the concern of grid instability due to its intermittent nature. Solar irradiance forecasting is becoming an effective way to support the power ramp rate control, mitigate… read more here.
Keywords: neural network; solar irradiance; irradiance; irradiance forecasting ... See more keywords
Solar Irradiance Forecasting in Remote Microgrids Using Markov Switching Model
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Sustainable Energy"
DOI: 10.1109/tste.2016.2629974
Abstract: Photovoltaic (PV) systems integration is increasingly being used to reduce fuel consumption in diesel-based remote microgrids. However, uncertainty and low correlation of PV power availability with load reduces the benefits of PV integration. These challenges… read more here.
Keywords: irradiance; markov switching; irradiance forecasting; solar irradiance ... See more keywords
Novel Multi-Time Scale Deep Learning Algorithm for Solar Irradiance Forecasting
Sign Up to like & getrecommendations! Published in 2021 at "Energies"
DOI: 10.3390/en14092404
Abstract: Solar irradiance forecasting is an inevitable and most significant process in grid-connected photovoltaic systems. Solar power is highly non-linear, and thus to manage the grid operation efficiently, with irradiance forecasting for various timescales, such as… read more here.
Keywords: time; solar irradiance; time scale; learning algorithm ... See more keywords
A Low Cost, Edge Computing, All-Sky Imager for Cloud Tracking and Intra-Hour Irradiance Forecasting
Sign Up to like & getrecommendations! Published in 2017 at "Sustainability"
DOI: 10.3390/su9040482
Abstract: With increasing use of photovoltaic (PV) power generation by utilities and their residential customers, the need for accurate intra-hour and day-ahead solar irradiance forecasting has become critical. This paper details the development of a low… read more here.
Keywords: cloud; intra hour; irradiance forecasting; low cost ... See more keywords