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Metaheuristic algorithms for solar radiation prediction: A systematic analysis
In the contemporary world, where the escalating demand for energy and the imperative for
sustainable sources, notably solar energy, have taken precedence, the investigation into …
sustainable sources, notably solar energy, have taken precedence, the investigation into …
[HTML][HTML] Predicting Tilapia Productivity in Geothermal Ponds: A Genetic Algorithm Approach for Sustainable Aquaculture Practices
V Tynchenko, O Kukartseva, Y Tynchenko, V Kukartsev… - Sustainability, 2024 - mdpi.com
This study presents a case focused on sustainable farming practices, specifically the
cultivation of tilapia (Mozambican and aureus species) in ponds with geothermal water. This …
cultivation of tilapia (Mozambican and aureus species) in ponds with geothermal water. This …
Integrated machine learning for modeling bearing capacity of shallow foundations
Y Liu, Y Liang - Scientific Reports, 2024 - nature.com
Analyzing the stability of footings is a significant step in civil/geotechnical engineering
projects. In this work, two novel predictive tools are suggested based on an artificial neural …
projects. In this work, two novel predictive tools are suggested based on an artificial neural …
Neuromorphic Computing-Based Model for Short-Term Forecasting of Global Horizontal Irradiance In Saudi Arabia
To tackle environmental and increasing energy demand issues, different energy transition
options have been investigated. Solar power has vast resources and is environment …
options have been investigated. Solar power has vast resources and is environment …
Satin Bowerbird optimizer-neural network for approximating the capacity of CFST columns under compression
Y Liu, Y Liang - Scientific Reports, 2024 - nature.com
Concrete-filled steel tube columns (CFSTCs) are important elements in the construction
sector and predictive analysis of their behavior is essential. Recent works have revealed the …
sector and predictive analysis of their behavior is essential. Recent works have revealed the …
Towards Automated Model Selection for Wind Speed and Solar Irradiance Forecasting
Given the recent increase in demand for electricity, it is necessary for renewable energy
sources (RESs) to be widely integrated into power networks, with the two most commonly …
sources (RESs) to be widely integrated into power networks, with the two most commonly …
Machine learning-driven solar irradiance prediction: advancing renewable energy in Rajasthan
This research explores the potential of solar power as an eco-friendly alternative to fossil
fuels, focusing on Rajasthan, India. Using data from MERRA-2, researchers analysed solar …
fuels, focusing on Rajasthan, India. Using data from MERRA-2, researchers analysed solar …
Desenvolvimento de algoritmo para geração de séries sintéticas de radiação solar e temperatura para cidades brasileiras
M Lago - 2024 - lume.ufrgs.br
A substituição gradual das fontes de energia oriundas de combustíveis fósseis por fontes de
energia renováveis e não poluentes é cada vez mais necessária, apesar do ainda …
energia renováveis e não poluentes é cada vez mais necessária, apesar do ainda …
Enhancing solar PV power production prediction: assessing input data for improved accuracy
H Ahmadnejad - 2022 - politesi.polimi.it
Accurate forecasting of solar photovoltaic (PV) power generation is vital for effective energy
management and grid stability, particularly as renewable energy sources become more …
management and grid stability, particularly as renewable energy sources become more …