☆ 4.7 Article

Revealing prediction of perched cum off-centered wick solar still performance using network based on optimizer algorithm

PROCESS SAFETY AND ENVIRONMENTAL PROTECTION (2022)

相关参考文献

注意：仅列出部分参考文献，下载原文获取全部文献信息。

Article Thermodynamics

Prediction of tubular solar still performance by machine learning integrated with Bayesian optimization algorithm

Yunpeng Wang et al.

Summary: This study developed accurate and convenient prediction models of tubular solar still performance using machine learning, with random forest showing superior performance in predicting hourly production. Bayesian optimization significantly improved the performance of artificial neural network, and optimization findings revealed that random forest was less sensitive to hyper parameters than artificial neural network.

APPLIED THERMAL ENGINEERING (2021)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Comparison of echo state network and feed-forward neural networks in electrical load forecasting for demand response programs

Muhammad Mansoor et al.

Summary: The accurate load forecasting is crucial for designing Demand Response programs in smart grids, with Artificial Neural Network (ANN) based techniques playing a key role in predicting load accuracy for commercial, industrial, and residential consumers. This research compares two ANN-based load forecasting techniques, FFNN and ESN, on a dataset related to commercial buildings for potential DR program application, assessing the results based on load forecasting accuracy and defined metrics.

MATHEMATICS AND COMPUTERS IN SIMULATION (2021)

添加到收藏夹

Article Thermodynamics

Using perceptron feed-forward Artificial Neural Network (ANN) for predicting the thermal conductivity of graphene oxide-Al2O3/water-ethylene glycol hybrid nanofluid

Shaopeng Tian et al.

Summary: The study suggests that increasing the temperature of nanofluid has a minor impact on the volume fraction of nanoparticles, with thermal conductivity increasing by 6% at low concentrations. However, at high concentrations, increasing the temperature further enhances the thermal conductivity.

CASE STUDIES IN THERMAL ENGINEERING (2021)

添加到收藏夹

Review Multidisciplinary Sciences

Machine learning toward advanced energy storage devices and systems

Tianhan Gao et al.

Summary: This paper reviews recent advances in machine learning technologies for commonly used energy storage devices and systems, discussing new concepts, approaches, and applications in this emerging area.

ISCIENCE (2021)

添加到收藏夹

Article Engineering, Multidisciplinary

Fault diagnosis of electric impact drills using thermal imaging

Adam Glowacz

Summary: Fault diagnosis based on thermal images can help save maintenance costs. The method proposed in this work extracts features from thermal images using the BCAoID method, achieving high recognition accuracy for different faults in electric impact drills. This approach can be applied for protecting rotating machinery and engines.

MEASUREMENT (2021)

添加到收藏夹

Review Chemistry, Physical

Critical review of machine learning applications in perovskite solar research

Beyza Yilmaz et al.

Summary: The remarkable progress in perovskite solar cells in recent years has aligned with the increasing interest in machine learning for material discovery. Machine learning has been widely used in perovskite solar research for discovering new materials, analyzing spectroscopic data, determining optimal conditions, and identifying technological trends.

NANO ENERGY (2021)

添加到收藏夹

Article Thermodynamics

Experimental investigation on the yield of solar still using manganese oxide nanoparticles coated absorber

Hitesh Panchal et al.

Summary: The experimental investigation demonstrates that the use of manganese oxide nanoparticles with black chrome paint can enhance the yield of a Solar Still, improving heat transfer and water temperature. The incorporation of MnO2 nanoparticles resulted in a 19.5% increase in yield compared to using the Solar Still alone, with a payback time of 82 days, shorter than the 98 days for the standalone Solar Still.

CASE STUDIES IN THERMAL ENGINEERING (2021)

添加到收藏夹

Article Thermodynamics

Combining CFD and artificial neural network techniques to predict the thermal performance of all-glass straight evacuated tube solar

Bin Du et al.

Summary: This study analyzed the thermal performance modeling and performance prediction of a novel all-glass straight-through evacuated tube collector. Different artificial neural network (ANN) models were considered and a comprehensive experimental dataset with more than 200 samples were used for testing. The convolutional neural network (CNN) model proved to be the best ANN model in terms of prediction accuracy.

ENERGY (2021)

添加到收藏夹

Article Green & Sustainable Science & Technology

Empirical data-driven multi-layer perceptron and radial basis function techniques in predicting the performance of nanofluid-based modified tubular solar collectors

Gholamabbas Sadeghi et al.

Summary: The study experimented with METSC using Cu2O/DW nanofluid under different conditions and predicted its performance. Results showed that the tank volume had the greatest impact on METSC performance, using nanofluid can increase energy efficiency, and MLP and RBF techniques are reliable algorithms for predicting thermal characteristics.

JOURNAL OF CLEANER PRODUCTION (2021)

添加到收藏夹

Article Energy & Fuels

Utilization of Radial Basis Function Neural Network model for Water production forecasting in Seawater Greenhouse units

Yanhong Wu et al.

Summary: The study introduces a neural network model for predicting water production capacity in solar seawater greenhouse desalination, integrating different optimization algorithms. By investigating the impact of hidden layer neuron numbers, accurate prediction results were obtained. The optimized neural network model showed superior forecasting accuracy under specific parameters.

ENERGY REPORTS (2021)

添加到收藏夹

Article Engineering, Multidisciplinary

Convolutional neural network based bearing fault diagnosis of rotating machine using thermal images

Anurag Choudhary et al.

Summary: This paper presents a noninvasive thermal image-based method for bearing fault diagnosis in rotating machines, comparing the performance of shallow and deep learning approaches using ANN and CNN. The CNN based on LeNet-5 structure outperforms ANN in fault identification, and the use of infrared thermography enables automatic detection of bearing faults for early warnings and reduced system shutdowns.

MEASUREMENT (2021)

添加到收藏夹

Article Acoustics

Fault diagnosis of angle grinders and electric impact drills using acoustic signals

Adam Glowacz et al.

Summary: This study focused on fault diagnosis of electric impact drills and angle grinders using acoustic signals. A method for feature extraction was proposed and classification was carried out using classifiers, achieving high classification accuracy.

APPLIED ACOUSTICS (2021)

添加到收藏夹

Article Energy & Fuels

Artificial Neural Network based modeling of the vacuum membrane distillation process: Effects of operating parameters on membrane fouling

Srishti Mittal et al.

Summary: A study utilized Artificial Neural Networks to model vacuum membrane distillation, finding that high feed temperature and appropriate vacuum tightness are optimal operating conditions. By optimizing the number of nodes in the hidden layer, model predictions were successfully validated with small mean square error, demonstrating the predictive capability of the model.

CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION (2021)

添加到收藏夹

Article Engineering, Environmental

Enhancing the wick solar still performance using half barrel and corrugated absorbers

M. M. Younes et al.

Summary: The performance of tilted wick solar stills with new absorber configurations was investigated, showing significant increase in daily yields. The new absorber designs reduced water flow rate through the wick, leading to improved evaporation rates. Additionally, incorporating phase change material mixed with CuO nanoparticles further enhanced productivity and efficiency of the solar stills.

PROCESS SAFETY AND ENVIRONMENTAL PROTECTION (2021)

添加到收藏夹

Article Green & Sustainable Science & Technology

Estimation of the energy production of a parabolic trough solar thermal power plant using analytical and artificial neural networks models

Anass Zaaoumi et al.

Summary: In this study, three models were used to estimate the hourly electric production of a parabolic trough solar thermal power plant in Eastern Morocco. The results show that the artificial neural networks (ANN) model performs better than the analytical models, accurately estimating the energy production.

RENEWABLE ENERGY (2021)

添加到收藏夹

Review Energy & Fuels

Review of application of AI techniques to Solar Tower Systems

Kypros Milidonis et al.

Summary: Artificial Intelligence plays a significant role in the design and optimization of renewable energy systems, with wide applications in the energy sector such as generation forecasting, energy efficiency monitoring, and overall design. This paper provides a review of key AI techniques applied to Solar Tower systems to advance the state of the art, structured around the different subsystems of the system.

SOLAR ENERGY (2021)

添加到收藏夹

Proceedings Paper Materials Science, Multidisciplinary

Artificial Neural network and experimental work of a solar cavity collector

B. Lakshmipathy et al.

Summary: The study aims to find an alternative to the flat plate collector with improved performance by using the solar cavity collector, comparing parameters such as water flow rate, and validating experimental results with simulation tools. The successful creation of an advanced model in Artificial Neural Network (ANN) software in MATLAB and the comparison of experimental and simulated results show a promising outcome.

MATERIALS TODAY-PROCEEDINGS (2021)

添加到收藏夹

Article Energy & Fuels

Determining the economic design radiation for a solar heating system through uncertainty analysis

Hao Li et al.

SOLAR ENERGY (2020)

添加到收藏夹

Article Thermodynamics

An enhanced productivity prediction model of active solar still using artificial neural network and Harris Hawks optimizer

F. A. Essa et al.

APPLIED THERMAL ENGINEERING (2020)

添加到收藏夹

Article Energy & Fuels

Experimental study on single slope single basin solar still using TiO2 nano layer for natural clean water invention

S. Shanmugan et al.

JOURNAL OF ENERGY STORAGE (2020)

添加到收藏夹

Article Energy & Fuels

Experimental and theoretical evaluation of thermophysical properties for moist air within solar still by using different algorithms of artificial neural network

Rishika Chauhan et al.

JOURNAL OF ENERGY STORAGE (2020)

添加到收藏夹

Article Energy & Fuels

Experimental and theoretical evaluation of a conventional solar still augmented with jute covered plastic balls

Pankaj Dumka et al.

JOURNAL OF ENERGY STORAGE (2020)

添加到收藏夹

Article Thermodynamics

Improved prediction of oscillatory heat transfer coefficient for a thermoacoustic heat exchanger using modified adaptive neuro-fuzzy inference system

Mohamed Abd Elaziz et al.

INTERNATIONAL JOURNAL OF REFRIGERATION-REVUE INTERNATIONALE DU FROID (2019)

添加到收藏夹

Article Computer Science, Theory & Methods

Harris hawks optimization: Algorithm and applications

Ali Asghar Heidari et al.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2019)

添加到收藏夹

Article Materials Science, Multidisciplinary

Modeling of friction stir welding process using adaptive neuro-fuzzy inference system integrated with harris hawks optimizer

Taher A. Shehabeldeen et al.

JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T (2019)

添加到收藏夹

Proceedings Paper Materials Science, Multidisciplinary

Energy and Environment control to Box type Solar Cooker and Nanoparticles mixed bar plate coating with Effect of Thermal Image cooking pot

G. Palanikumar et al.

MATERIALS TODAY-PROCEEDINGS (2019)

添加到收藏夹

Article Green & Sustainable Science & Technology

Productivity modelling of a developed inclined stepped solar still system based on actual performance and using a cascaded forward neural network model

Mohammed Shadi S. Abujazar et al.

JOURNAL OF CLEANER PRODUCTION (2018)

添加到收藏夹

Article Engineering, Chemical

Energy matrices, exergoeconomic and enviroeconomic analysis of modified multi-wick basin type double slope solar still

Piyush Pal et al.

DESALINATION (2018)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Particle swarm optimization trained neural network for structural failure prediction of multistoried RC buildings

Sankhadeep Chatterjee et al.

NEURAL COMPUTING & APPLICATIONS (2017)

添加到收藏夹

Article Thermodynamics

A novel hybrid model for hourly global solar radiation prediction using random forests technique and firefly algorithm

Ibrahim Anwar Ibrahim et al.

ENERGY CONVERSION AND MANAGEMENT (2017)

添加到收藏夹

Article Energy & Fuels

Thermal performance analysis of an inclined passive solar still using agricultural drainage water and artificial neural network in arid climate

Ahmed F. Mashaly et al.

SOLAR ENERGY (2017)

添加到收藏夹

Review Engineering, Chemical

Energy-water-environment nexus underpinning future desalination sustainability

Muhammad Wakil Shahzad et al.

DESALINATION (2017)

添加到收藏夹

Article Engineering, Chemical

Pushing desalination recovery to the maximum limit: Membrane and thermal processes integration

Muhammad Wakil Shahzad et al.

DESALINATION (2017)

添加到收藏夹

Article Engineering, Chemical

Recent developments in thermally-driven seawater desalination: Energy efficiency improvement by hybridization of the MED and AD cycles

Kim Choon Ng et al.

DESALINATION (2015)

添加到收藏夹

Article Green & Sustainable Science & Technology

ANN and ANFIS models to predict the performance of solar chimney power plants

S. Amirkhani et al.

RENEWABLE ENERGY (2015)

添加到收藏夹

Article Thermodynamics

Multi effect desalination and adsorption desalination (MEDAD): A hybrid desalination method

Muhammad Wakil Shahzad et al.

APPLIED THERMAL ENGINEERING (2014)

添加到收藏夹

Article Thermodynamics

Estimation of 5-min time-step data of tilted solar global irradiation using ANN (Artificial Neural Network) model

Kahina Dahmani et al.

ENERGY (2014)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Flood flow forecasting using ANN, ANFIS and regression models

M. Rezaeianzadeh et al.

NEURAL COMPUTING & APPLICATIONS (2014)

添加到收藏夹

Article Engineering, Multidisciplinary

Water use optimisation based on the concept of Partial Rootzone Drying

Alaa El-Sadek

AIN SHAMS ENGINEERING JOURNAL (2014)

添加到收藏夹

Article Green & Sustainable Science & Technology

Modeling solar still production using local weather data and artificial neural networks

Noe I. Santos et al.

RENEWABLE ENERGY (2012)

添加到收藏夹

Article Biochemical Research Methods

Artificial neural networks: fundamentals, computing, design, and application

IA Basheer et al.

JOURNAL OF MICROBIOLOGICAL METHODS (2000)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.