Solar radiation forecasting using machine learning and ensemble feature selection
ES Solano, P Dehghanian, CM Affonso - Energies, 2022 - mdpi.com
Accurate solar radiation forecasting is essential to operate power systems safely under high
shares of photovoltaic generation. This paper compares the performance of several machine …
shares of photovoltaic generation. This paper compares the performance of several machine …
Solar irradiation forecasting using ensemble voting based on machine learning algorithms
ES Solano, CM Affonso - Sustainability, 2023 - mdpi.com
This paper proposes an ensemble voting model for solar radiation forecasting based on
machine learning algorithms. Several ensemble models are assessed using a simple …
machine learning algorithms. Several ensemble models are assessed using a simple …
Solar radiation forecasting using artificial neural networks considering feature selection
R Nematirad, A Pahwa - 2022 IEEE Kansas Power and Energy …, 2022 - ieeexplore.ieee.org
Due to various factors, including worries about greenhouse gas emissions, supporting
government policies, and decreased equipment costs, the expansion of solar-based energy …
government policies, and decreased equipment costs, the expansion of solar-based energy …
A framework of using machine learning approaches for short-term solar power forecasting
Various machine learning approaches are widely applied for short-term solar power
forecasting, which is highly demanded for renewable energy integration and power system …
forecasting, which is highly demanded for renewable energy integration and power system …
Solar irradiance forecasting using dynamic ensemble selection
DS de O. Santos Jr, PSG de Mattos Neto… - Applied Sciences, 2022 - mdpi.com
Solar irradiance forecasting has been an essential topic in renewable energy generation.
Forecasting is an important task because it can improve the planning and operation of …
Forecasting is an important task because it can improve the planning and operation of …
Machine learning methods for solar radiation forecasting: A review
Forecasting the output power of solar systems is required for the good operation of the
power grid or for the optimal management of the energy fluxes occurring into the solar …
power grid or for the optimal management of the energy fluxes occurring into the solar …
A hybrid ensemble learning model for short-term solar irradiance forecasting using historical observations and sky images
A hybrid multi-modal ensemble learning model is proposed for short-term solar irradiance
forecasting based on historical observations and sky images in this paper. In the proposed …
forecasting based on historical observations and sky images in this paper. In the proposed …
A review and evaluation of the state-of-the-art in PV solar power forecasting: Techniques and optimization
Integration of photovoltaics into power grids is difficult as solar energy is highly dependent
on climate and geography; often fluctuating erratically. This causes penetrations and voltage …
on climate and geography; often fluctuating erratically. This causes penetrations and voltage …
Machine learning for solar irradiance forecasting of photovoltaic system
Photovoltaic generation of electricity is an important renewable energy source, and large
numbers of relatively small photovoltaic systems are proliferating around the world. Today it …
numbers of relatively small photovoltaic systems are proliferating around the world. Today it …
A novel ensemble learning approach for hourly global solar radiation forecasting
M Guermoui, S Benkaciali, K Gairaa… - Neural Computing and …, 2022 - Springer
Precise solar radiation forecasting can provide great benefits and solutions for smart grid
distribution and electricity management. However, its non-stationary behavior and …
distribution and electricity management. However, its non-stationary behavior and …