Performance assessment and modeling techniques for domestic solar dryers
Solar dryers have always been criticized for their lower performances. There are numerous
ways to define the performance of a solar drying system such as thermal performance …
ways to define the performance of a solar drying system such as thermal performance …
A Deep CNN-LSTM Model for Particulate Matter (PM2.5) Forecasting in Smart Cities
In modern society, air pollution is an important topic as this pollution exerts a critically bad
influence on human health and the environment. Among air pollutants, Particulate Matter …
influence on human health and the environment. Among air pollutants, Particulate Matter …
A framework for data regression of heat transfer data using machine learning
J Loyola-Fuentes, N Nazemzadeh… - Applied Thermal …, 2024 - Elsevier
Abstract Machine Learning (ML) algorithms are emerging in various industries as a powerful
complement/alternative to traditional data regression methods. A major reason is that, unlike …
complement/alternative to traditional data regression methods. A major reason is that, unlike …
An electricity price forecasting model by hybrid structured deep neural networks
Electricity price is a key influencer in the electricity market. Electricity market trades by each
participant are based on electricity price. The electricity price adjusted with the change in …
participant are based on electricity price. The electricity price adjusted with the change in …
A short-term wind speed forecasting model by using artificial neural networks with stochastic optimization for renewable energy systems
To efficiently manage unstable wind power generation, precise short-term wind speed
forecasting is critical. To overcome the challenges in wind speed forecasting, this paper …
forecasting is critical. To overcome the challenges in wind speed forecasting, this paper …
Techno-economic analysis of an indirect solar dryer with thermal energy storage: An approach with machine learning algorithms for decision making
AJ Cetina-Quiñones, G Santamaria-Bonfil… - Thermal Science and …, 2023 - Elsevier
Abstract Machine learning models effectively forecast and improve engineering systems as
solar dryers, making them valuable replacements for traditional physics-based models. Also …
solar dryers, making them valuable replacements for traditional physics-based models. Also …
Comparative study of multiple linear regression (MLR) and artificial neural network (ANN) techniques to model a solid desiccant wheel
KN Çerçi, E Hürdoğan - International communications in heat and mass …, 2020 - Elsevier
In recent years, the use of solid desiccant wheels has become attractive not only for air-
conditioning applications, but also for food drying processes and storage due to their …
conditioning applications, but also for food drying processes and storage due to their …
[HTML][HTML] Determination of thermal and drying performances of the solar air dryer with solar tracking system: Apple drying test
M Das, EK Akpinar - Case Studies in Thermal Engineering, 2020 - Elsevier
The present experimental study, the thermal performance of a solar air dryer with solar
tracking system was investigated. Solar air collector (SAC) has been provided with solar …
tracking system was investigated. Solar air collector (SAC) has been provided with solar …
Comparison of chemometric problems in food analysis using non-linear methods
WFC Rocha, CB Prado, N Blonder - Molecules, 2020 - mdpi.com
Food analysis is a challenging analytical problem, often addressed using sophisticated
laboratory methods that produce large data sets. Linear and non-linear multivariate methods …
laboratory methods that produce large data sets. Linear and non-linear multivariate methods …
Investigation of the effects of solar tracking system on performance of the solar air dryer
M Das, EK Akpinar - Renewable Energy, 2021 - Elsevier
Abstract Design of the collector in solar air collector dryer (SACD) system is very important
factor for high drying performance and the effective use of solar radiation. The main purpose …
factor for high drying performance and the effective use of solar radiation. The main purpose …