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
Weather Phenomena Monitoring: Optimizing Solar Irradiance Forecasting With Temporal Fusion Transformer
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3517144
Abstract: Global climate change has spurred the search for renewable energy sources, with solar power being a cost-effective option for electricity generation. Accurate energy generation forecasting is crucial for efficient usage planning. While various techniques have… read more here.
Keywords: temporal fusion; irradiance; solar irradiance; weather phenomena ... See more keywords
Holistic and Lightweight Approach for Solar Irradiance Forecasting
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2024.3415413
Abstract: The introduction of solar power in energy grids is crucial for sustainable progress, but gets restricted due to frequently fluctuating electricity outputs generated by intermittent solar irradiance. The problem requires proper power planning and operations… read more here.
Keywords: irradiance; solar irradiance; irradiance forecasting; approach ... 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
InFLuCs: Irradiance Forecasting Through Reinforcement Learning Tuned Cascaded Regressors
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2024.3396271
Abstract: Accurate prediction of solar irradiance is essential for optimizing renewable energy sources in distributed generation systems due to its significant impact on solar power generation. Despite notable advancements, the inherent variability of irradiance presents challenges… read more here.
Keywords: learning tuned; irradiance; influcs 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
Solar Irradiance Forecasting Using Temporal Fusion Transformers
Sign Up to like & getrecommendations! Published in 2025 at "International Journal of Energy Research"
DOI: 10.1155/er/3534500
Abstract: Global climate change has intensified the search for renewable energy sources. Solar power is a cost‐effective option for electricity generation. Accurate energy forecasting is crucial for efficient planning. While various techniques have been introduced for… read more here.
Keywords: temporal fusion; irradiance; energy; 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
Application of Quantum Neural Network for Solar Irradiance Forecasting: A Case Study Using the Folsom Dataset, California
Sign Up to like & getrecommendations! Published in 2024 at "Energies"
DOI: 10.3390/en17143580
Abstract: Merging machine learning with the power of quantum computing holds great potential for data-driven decision making and the development of powerful models for complex datasets. This area offers the potential for improving the accuracy of… read more here.
Keywords: irradiance; solar irradiance; irradiance forecasting; quantum neural ... 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