[HTML][HTML] A review of the use of artificial neural network models for energy and reliability prediction. A study of the solar PV, hydraulic and wind energy sources
J Ferrero Bermejo, JF Gómez Fernández… - Applied Sciences, 2019 - mdpi.com
The generation of energy from renewable sources is subjected to very dynamic changes in
environmental parameters and asset operating conditions. This is a very relevant issue to be …
environmental parameters and asset operating conditions. This is a very relevant issue to be …
A taxonomical review on recent artificial intelligence applications to PV integration into power grids
The exponential growth of solar power has been witnessed in the past decade and is
projected by the ambitious policy targets. Nevertheless, the proliferation of solar energy …
projected by the ambitious policy targets. Nevertheless, the proliferation of solar energy …
[HTML][HTML] Photovoltaic power forecast using deep learning techniques with hyperparameters based on bayesian optimization: A case study in the galapagos islands
R Guanoluisa, D Arcos-Aviles, M Flores-Calero… - Sustainability, 2023 - mdpi.com
Hydropower systems are the basis of electricity power generation in Ecuador. However,
some isolated areas in the Amazon and Galapagos Islands are not connected to the …
some isolated areas in the Amazon and Galapagos Islands are not connected to the …
Correlation analysis between higher education level and college students' public mental health driven by AI
Y Cai, L Tang - Computational intelligence and neuroscience, 2022 - Wiley Online Library
Generally, there is a certain correlation between the level of higher education and the public
mental health of college students. Traditionally, questionnaires and literature research …
mental health of college students. Traditionally, questionnaires and literature research …
Solar energy production forecasting through artificial neuronal networks, considering the Föhn, north and south winds in San Juan, Argentina
LC Parra Raffán, A Romero… - The Journal of …, 2019 - Wiley Online Library
This study presents a method to predict a day‐ahead solar irradiation curve, under extreme
meteorological phenomena (Föhn, north and south winds), existing in the province of San …
meteorological phenomena (Föhn, north and south winds), existing in the province of San …
Short-Term forecasting of photovoltaic power in an isolated area of Ecuador using deep learning techniques
R Guanoluisa-Pineda, A Ibarra… - 2022 11th …, 2022 - ieeexplore.ieee.org
In Ecuador, electricity generation is mainly covered by renewable energy sources that feed
the National Interconnected System (NIS). Its economical price means that the installation of …
the National Interconnected System (NIS). Its economical price means that the installation of …
[HTML][HTML] Energy prediction using evolutionary lean neural networks
YW Foo - 2022 - theses.gla.ac.uk
The demand for data center services, driven by the surge in online applications and
services, has propelled energy consumption to unprecedented levels. While renewable …
services, has propelled energy consumption to unprecedented levels. While renewable …
Application of Recurrent Neural Network Model in the Analysis of Electricity Load Demand in Ashanti Region of Ghana
FK Oduro-Gyimah - 2018 IEEE 7th International Conference on …, 2018 - ieeexplore.ieee.org
In order to supply electric energy to the customer in a secure and economic manner, an
electric company faces many economical and technical challenges in operation. These …
electric company faces many economical and technical challenges in operation. These …
Solar irradiation forecasting through a hybrid method, considering zonda, north and south winds in San Juan, Argentina
LCP Raffán, A Romero… - 2018 IEEE Biennial …, 2018 - ieeexplore.ieee.org
This paper presents a hybrid method to predict a day-ahead solar irradiation curve, under
extreme meteorological phenomena (Zonda, North, South winds), existing in the province of …
extreme meteorological phenomena (Zonda, North, South winds), existing in the province of …
Redes neurais artificiais aplicadas à previsão de irradiância global horizontal no contexto de cidades energeticamente inteligentes
F Pedro Bon - 2020 - repositorio.ufscar.br
O Brasil, um país de dimensão continental, abarca mais de 8 milhões de quilômetros
quadrados, conforme a Resolução nº 02, de 29/06/2017 do Diário Oficial da União nº 124 …
quadrados, conforme a Resolução nº 02, de 29/06/2017 do Diário Oficial da União nº 124 …