Deep learning models for solar irradiance forecasting: A comprehensive review
The growing human population in this modern society hugely depends on the energy to
fulfill their day-to-day needs and activities. Renewable energy sources, especially solar …
fulfill their day-to-day needs and activities. Renewable energy sources, especially solar …
[HTML][HTML] A review on neural network based models for short term solar irradiance forecasting
The accuracy of solar energy forecasting is critical for power system planning, management,
and operation in the global electric energy grid. Therefore, it is crucial to ensure a constant …
and operation in the global electric energy grid. Therefore, it is crucial to ensure a constant …
Efficient daily solar radiation prediction with deep learning 4-phase convolutional neural network, dual stage stacked regression and support vector machine CNN …
Optimal utilisation of the sun's freely available energy to generate electricity requires efficient
predictive models of global solar radiation (GSR). These are necessary to provide solar …
predictive models of global solar radiation (GSR). These are necessary to provide solar …
[HTML][HTML] Solar irradiance prediction using reinforcement learning pre-trained with limited historical data
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 …
supply and minimizing energy losses. To date, various solar irradiance prediction models …
A systematic study on sha** the future of solar prosumage using deep learning
M Dodiya, M Shah - International Journal of Energy and Water Resources, 2021 - Springer
One of the core necessities for development in the modern world is a clear access to energy.
Therefore, places that lack access to energy face serious challenges on their ability to …
Therefore, places that lack access to energy face serious challenges on their ability to …
The Influence of Air Pollution Concentrations on Solar Irradiance Forecasting Using CNN-LSTM-mRMR Feature Extraction.
RG Birdal - Computers, Materials & Continua, 2024 - search.ebscohost.com
Maintaining a steady power supply requires accurate forecasting of solar irradiance, since
clean energy resources do not provide steady power. The existing forecasting studies have …
clean energy resources do not provide steady power. The existing forecasting studies have …
Predictive analytics in future power systems: A panorama and state-of-the-art of deep learning applications
The challenges surrounding the optimal operation of power systems are growing in various
dimensions, due in part to increasingly distributed energy resources and a progression …
dimensions, due in part to increasingly distributed energy resources and a progression …
Intra-hour solar irradiance forecasting: An end-to-end Transformer-based network
K Song, K Wang, S Wang, N Wang… - 2024 39th Youth …, 2024 - ieeexplore.ieee.org
The exponential growth of photovoltaic (PV) power generation prompts accurate PV
forecasting due to the nature of PV power fluctuations. Cloud movements have a significant …
forecasting due to the nature of PV power fluctuations. Cloud movements have a significant …
[PDF][PDF] Energy Reports
abstract Accurate day-ahead forecasting of solar irradiance is crucial for maintaining a
steady power supply and minimizing energy losses. To date, various solar irradiance …
steady power supply and minimizing energy losses. To date, various solar irradiance …
Classification Machine Learning Applications for Energy Management Systems in Distribution Systems to Diminish CO2 Emissions
It is known that the increment of greenhouse gas emissions is one of the main factors behind
the global warming phenomenon. Global warming is a heavy influence to abnormal …
the global warming phenomenon. Global warming is a heavy influence to abnormal …