Review on forecasting of photovoltaic power generation based on machine learning and metaheuristic techniques
The modernisation of the world has significantly reduced the prime sources of energy such
as coal, diesel and gas. Thus, alternative energy sources based on renewable energy have …
as coal, diesel and gas. Thus, alternative energy sources based on renewable energy have …
Hybrid structures in time series modeling and forecasting: A review
Z Hajirahimi, M Khashei - Engineering Applications of Artificial Intelligence, 2019 - Elsevier
The key factor in selecting appropriate forecasting model is accuracy. Given the deficiencies
of single models in processing various patterns and relationships latent in data, hybrid …
of single models in processing various patterns and relationships latent in data, hybrid …
Machine learning based photovoltaics (PV) power prediction using different environmental parameters of Qatar
Photovoltaics (PV) output power is highly sensitive to many environmental parameters and
the power produced by the PV systems is significantly affected by the harsh environments …
the power produced by the PV systems is significantly affected by the harsh environments …
A day-ahead photovoltaic power prediction via transfer learning and deep neural networks
Climate change and global warming drive many governments and scientists to investigate
new renewable and green energy sources. Special attention is on solar panel technology …
new renewable and green energy sources. Special attention is on solar panel technology …
A survey on advanced machine learning and deep learning techniques assisting in renewable energy generation
B Sri Revathi - Environ Sci Pollut Res, 2023 - Springer
The sustainability of the earth depends on renewable energy. Forecasting the output of
renewable energy has a big impact on how we operate and manage our power networks …
renewable energy has a big impact on how we operate and manage our power networks …
Recent advances in data-driven prediction for wind power
Y Liu, Y Wang, Q Wang, K Zhang, W Qiang… - Frontiers in Energy …, 2023 - frontiersin.org
Wind power is one of the most representative renewable energy and has attracted wide
attention in recent years. With the increasing installed capacity of global wind power, its …
attention in recent years. With the increasing installed capacity of global wind power, its …
Quantitative analysis of solar photovoltaic panel performance with size-varied dust pollutants deposition using different machine learning approaches
AK Tripathi, M Aruna, EP Venkatesan, M Abbas, A Afzal… - Molecules, 2022 - mdpi.com
In this paper, the impact of dust deposition on solar photovoltaic (PV) panels was examined,
using experimental and machine learning (ML) approaches for different sizes of dust …
using experimental and machine learning (ML) approaches for different sizes of dust …
Innovative approaches to solar energy forecasting: unveiling the power of hybrid models and machine learning algorithms for photovoltaic power optimization
As the world endeavors to shift toward sustainable energy solutions, the pivotal role of solar
energy, specifically photovoltaics, becomes increasingly evident. This study investigates the …
energy, specifically photovoltaics, becomes increasingly evident. This study investigates the …
Comparison of machine learning and statistical methods in the field of renewable energy power generation forecasting: a mini review
Y Dou, S Tan, D Xie - Frontiers in Energy Research, 2023 - frontiersin.org
In the post-COVID-19 era, countries are paying more attention to the energy transition as
well as tackling the increasingly severe climate crisis. Renewable energy has attracted …
well as tackling the increasingly severe climate crisis. Renewable energy has attracted …
[图书][B] Microgrid Protection and Control
D Zheng, W Zhang, S Netsanet, P Wang, GT Bitew… - 2021 - books.google.com
Microgrid Protection and Control is the result of numerous research works and publications
by R&D engineers and scientists of the Microgrid and Energy Internet Research Centre …
by R&D engineers and scientists of the Microgrid and Energy Internet Research Centre …