Machine learning based solar photovoltaic power forecasting: a review and comparison

J Gaboitaolelwe, AM Zungeru, A Yahya… - IEEE …, 2023 - ieeexplore.ieee.org
The growing interest in renewable energy and the falling prices of solar panels place solar
electricity in a favourable position for adoption. However, the high-rate adoption of …

Machine learning approaches to predict electricity production from renewable energy sources

A Krechowicz, M Krechowicz, K Poczeta - Energies, 2022 - mdpi.com
Bearing in mind European Green Deal assumptions regarding a significant reduction of
green house emissions, electricity generation from Renewable Energy Sources (RES) is …

Prediction of streamflow drought index for short-term hydrological drought in the semi-arid Yesilirmak Basin using Wavelet transform and artificial intelligence …

OM Katipoğlu - Sustainability, 2023 - mdpi.com
The prediction of hydrological droughts is vital for surface and ground waters, reservoir
levels, hydroelectric power generation, agricultural production, forest fires, climate change …

A case study on hydrogen refueling station techno-economic viability

PC Okonkwo - International Journal of Hydrogen Energy, 2024 - Elsevier
The anticipated escalation in the utilization of renewable energy sources is projected to
make a significant contribution to the attainment of long-term sustainability objectives and …

Exploring KGeCl3 material for perovskite solar cell absorber layer through different machine learning models

N Shrivastav, MA Hamid, J Madan, R Pandey - Solar Energy, 2024 - Elsevier
The existing designs of perovskite based solar cells frequently encounter issues with poor
photovoltaic (PV) performance and stability issues. In this study, to address above issues …

Exploiting digitalization of solar PV plants using machine learning: Digital twin concept for operation

T Yalçin, P Paradell Solà, P Stefanidou-Voziki… - Energies, 2023 - mdpi.com
The rapid development of digital technologies and solutions is disrupting the energy sector.
In this regard, digitalization is a facilitator and enabler for integrating renewable energies …

A solar radiation intelligent forecasting framework based on feature selection and multivariable fuzzy time series

Y Gao, P Li, H Yang, J Wang - Engineering Applications of Artificial …, 2023 - Elsevier
Accurate solar radiation forecasting can effectively improve solar energy utilization efficiency
and decrease the operational cost of solar photovoltaic power plants. However, some …

[HTML][HTML] Mechanical behaviour of E-waste aggregate concrete using a novel machine learning algorithm: Multi expression programming (MEP)

S Shah, M Houda, S Khan, F Althoey… - Journal of Materials …, 2023 - Elsevier
Technological advancement encourages the usage of electronic appliances in daily life and
makes it possible for users to switch to more advanced devices very easily and at a …

Photovoltaic-thermal system combined with wavy tubes, twisted tape inserts and a novel coolant fluid: energy and exergy analysis

K Khosravi, AH Eisapour, A Rahbari… - Engineering …, 2023 - Taylor & Francis
To create a highly efficient photovoltaic-thermal (PV-T) system and maximise the energy and
exergy efficiency, this study aims to propose an innovative configuration of a PV-T system …

Energy management of a concentrated photovoltaic− thermal unit utilizing nanofluid jet impingement in existence of thermoelectric module

M Sheikholeslami, Z Khalili - Engineering Applications of …, 2024 - Taylor & Francis
To generate a concentrated photovoltaic–thermal (CPVT) unit system, linear Fresnel
concentrators have been attached to a PV unit and a thermoelectric generator (TEG) has …