Sizing and forecasting techniques in photovoltaic-wind based hybrid renewable energy system: A review

AK Bansal - Journal of Cleaner Production, 2022 - Elsevier
With increasing awareness towards environmental concern, efforts are made to reduce
harmful effects of conventional electricity generation methods and uses of renewable …

Medium-term regional electricity load forecasting through machine learning and deep learning

N Shirzadi, A Nizami, M Khazen, M Nik-Bakht - Designs, 2021 - mdpi.com
Due to severe climate change impact on electricity consumption, as well as new trends in
smart grids (such as the use of renewable resources and the advent of prosumers and …

Multi-state load demand forecasting using hybridized support vector regression integrated with optimal design of off-grid energy Systems—A metaheuristic approach

B Musa, N Yimen, SI Abba, HH Adun, M Dagbasi - Processes, 2021 - mdpi.com
The prediction accuracy of support vector regression (SVR) is highly influenced by a kernel
function. However, its performance suffers on large datasets, and this could be attributed to …

Off-grid multi-region energy system design based on energy load demand estimation using hybrid nature-inspired optimization algorithms

AH Alhamami, SI Abba, B Musa, YA Dodo… - Energy Conversion and …, 2024 - Elsevier
Reliable energy demand estimation and optimal sizing of a stand-alone photovoltaic/wind/
battery hybrid energy system are critical for achieving sustainable development goals. This …

Determination of the power smoothing effect in a photovoltaic-hydrokinetic system by experimental analysis and pattern search

P Arévalo, A Cano, F Jurado - Energy for Sustainable Development, 2023 - Elsevier
Sizing optimization and power smoothing methodology in highly fluctuating grid-connected
renewable systems represent important challenges nowadays, the total cost and energy …

Deep learning to predict the generation of a wind farm

JM Torres, RM Aguilar… - Journal of Renewable and …, 2018 - pubs.aip.org
One of today's greatest technological challenges is adding renewable energies to an electric
grid, with the goal being to achieve sustainable and environmentally friendly electricity …

Wind Energy Resource Prediction and Optimal Storage Sizing to Guarantee Dispatchability: A Case Study in the Kenyan Power Grid

H Odero, C Wekesa, G Irungu - Journal of Electrical and …, 2022 - Wiley Online Library
Kenya is experiencing a fast increase in grid‐connected intermittent renewable energy
sources (RESs) to meet its increased power demand, and at the same time be able to fulfill …

[PDF][PDF] Tools and techniques for optimization of hybrid renewable energy sources: A review

H Paliwal, V Dave - Annals of the Faculty of Engineering …, 2021 - annals.fih.upt.ro
The world's energy consumption has risen drastically in the last few decades due to the fast-
growing population, urbanization which lead to increased consumption in industrialization …

Economic dispatch with CHP and wind power using probabilistic sequence theory and hybrid heuristic algorithm

C Wu, P Jiang, Y Sun, C Zhang, W Gu - Journal of Renewable and …, 2017 - pubs.aip.org
The injection of wind power continues to increase rapidly all over the world. Hence, it is
necessary for dispatchers to take uncertainties into consideration when they make economic …

Optimal location and rating of wind power plants in competitive electricity market

A Banshwar, NK Sharma, YR Sood… - Journal of Renewable …, 2017 - pubs.aip.org
A large penetration of renewable energy in a sector plays a leading role in energy
generation to counter the effect of global warming on the environment. The trend in …