Review on forecasting of photovoltaic power generation based on machine learning and metaheuristic techniques

MN Akhter, S Mekhilef, H Mokhlis… - IET Renewable …, 2019 - Wiley Online Library
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 …

Design of experiments using artificial neural network ensemble for photovoltaic generation forecasting

MO Moreira, PP Balestrassi, AP Paiva… - … and Sustainable Energy …, 2021 - Elsevier
In recent years, renewable and sustainable energy sources have attracted the attention of
various investors and stakeholders, such as energy sector agents and even consumers. It is …

A guideline to solar forecasting research practice: Reproducible, operational, probabilistic or physically-based, ensemble, and skill (ROPES)

D Yang - Journal of Renewable and Sustainable Energy, 2019 - pubs.aip.org
Over the past decade, significant progress in solar forecasting has been made.
Nevertheless, there are concerns about duplication, long-term value, and reproducibility; this …

Short-term power prediction for photovoltaic power plants using a hybrid improved Kmeans-GRA-Elman model based on multivariate meteorological factors and …

P Lin, Z Peng, Y Lai, S Cheng, Z Chen, L Wu - Energy Conversion and …, 2018 - Elsevier
With the continuous consumption of fossil fuels such as coal, oil and natural gas, the
environmental energy problem has become the focus of attention in the world. The utilization …

Photovoltaic energy in Colombia: Current status, inventory, policies and future prospects

D Rodríguez-Urrego, L Rodríguez-Urrego - Renewable and Sustainable …, 2018 - Elsevier
Along with the development of renewable energies in the world and the initiatives for
alternative energy implementation in Colombia, it is important to make a national revision …

Neuro-fuzzy resource forecast in site suitability assessment for wind and solar energy: A mini review

PA Adedeji, SA Akinlabi, N Madushele… - Journal of Cleaner …, 2020 - Elsevier
Site suitability problems in renewable energy studies have taken a new turn since the
advent of geographical information system (GIS). GIS has been used for site suitability …

Deep RNN-based photovoltaic power short-term forecast using power IoT sensors

HK Ahn, N Park - Energies, 2021 - mdpi.com
Photovoltaic (PV) power fluctuations caused by weather changes can lead to short-term
mismatches in power demand and supply. Therefore, to operate the power grid efficiently …

A review of multitemporal and multispatial scales photovoltaic forecasting methods

C Liu, M Li, Y Yu, Z Wu, H Gong, F Cheng - IEEE Access, 2022 - ieeexplore.ieee.org
Reliable photovoltaic (PV) forecasting can provide important data support for power system
operation, which is the key to realize the large-scale consumption of solar energy resources …

Forecasting the structure of energy production from renewable energy sources and biofuels in Poland

J Brodny, M Tutak, SA Saki - Energies, 2020 - mdpi.com
The world's economic development depends on access to cheap energy sources. So far,
energy has been obtained mainly from conventional sources like coal, gas and oil. Negative …

[HTML][HTML] The analysis of the innovative potential of the energy sector and low-carbon development: A case study for Poland

M Dzikuć, J Gorączkowska, A Piwowar, M Dzikuć… - Energy Strategy …, 2021 - Elsevier
The problem of excessive use of fossil fuels is a serious problem in many countries. The
desire to obtain relatively cheap energy by burning mainly coal often wins over the need to …