Predictive Power of Machine Learning for Optimizing Solar Water Heater Performance: The Potential Application of High-Throughput Screening

An adaptive model for vanadium redox flow battery and its application for online peak power estimation

(2017) Zhongbao Wei et al.   JOURNAL OF POWER SOURCES

Design of high-performance water-in-glass evacuated tube solar water heaters by a high-throughput screening based on machine learning: A combined modeling and experimental study

(2017) Zhijian Liu et al.   SOLAR ENERGY

Online state of charge and model parameter co-estimation based on a novel multi-timescale estimator for vanadium redox flow battery

(2016) Zhongbao Wei et al.   APPLIED ENERGY

Modeling and analysis of piezoelectric cantilever-pendulum system for multi-directional energy harvesting

(2016) Jiawen Xu et al.   JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES

Adaptive estimation of state of charge and capacity with online identified battery model for vanadium redox flow battery

(2016) Zhongbao Wei et al.   JOURNAL OF POWER SOURCES

Layer pattern thermal design and optimization for multistream plate-fin heat exchangers—A review

(2016) Zhe Wang et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Comparative Study on Theoretical and Machine Learning Methods for Acquiring Compressed Liquid Densities of 1,1,1,2,3,3,3-Heptafluoropropane (R227ea) via Song and Mason Equation, Support Vector Machine, and Artificial Neural Networks

(2016) Hao Li et al.   Applied Sciences-Basel

Extreme learning machine: a new alternative for measuring heat collection rate and heat loss coefficient of water-in-glass evacuated tube solar water heaters

(2016) Zhijian Liu et al.   SpringerPlus

What Is High-Throughput Virtual Screening? A Perspective from Organic Materials Discovery

(2015) Edward O. Pyzer-Knapp et al.   Annual Review of Materials Research

Novel Method for Measuring the Heat Collection Rate and Heat Loss Coefficient of Water-in-Glass Evacuated Tube Solar Water Heaters Based on Artificial Neural Networks and Support Vector Machine

(2015) Zhijian Liu et al.   Energies

Forecasting Fossil Fuel Energy Consumption for Power Generation Using QHSA-Based LSSVM Model

(2015) Wei Sun et al.   Energies

Predicting the wind power density based upon extreme learning machine

(2015) Kasra Mohammadi et al.   ENERGY

Prediction of building energy consumption using an improved real coded genetic algorithm based least squares support vector machine approach

(2015) Hyun Chul Jung et al.   ENERGY AND BUILDINGS

Irreversibility analysis for optimization design of plate fin heat exchangers using a multi-objective cuckoo search algorithm

(2015) Zhe Wang et al.   ENERGY CONVERSION AND MANAGEMENT

Trends in extreme learning machines: A review

(2015) Gao Huang et al.   NEURAL NETWORKS

Linear stiffness compensation using magnetic effect to improve electro-mechanical coupling for piezoelectric energy harvesting

(2015) J. Xu et al.   SENSORS AND ACTUATORS A-PHYSICAL

Artificial Neural Networks-Based Software for Measuring Heat Collection Rate and Heat Loss Coefficient of Water-in-Glass Evacuated Tube Solar Water Heaters

(2015) Zhijian Liu et al.   PLoS One

Optimal control for variable-speed wind generation systems using General Regression Neural Network

(2014) Chih-Ming Hong et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Thermal performance of an open thermosyphon using nanofluid for evacuated tubular high temperature air solar collector

(2013) Zhen-Hua Liu et al.   ENERGY CONVERSION AND MANAGEMENT

Artificial neural networks for the performance prediction of large solar systems

(2013) S.A. Kalogirou et al.   RENEWABLE ENERGY

Performance of Thermosyphon Solar Water Heaters in Series

(2012) Yi-Mei Liu et al.   Energies

Optimization of a right-angle piezoelectric cantilever using auxiliary beams with different stiffness levels for vibration energy harvesting

(2012) Jia Wen Xu et al.   Smart Materials and Structures

Forecasting stock indices with back propagation neural network

(2011) Jian-Zhou Wang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Extreme Learning Machine for Regression and Multiclass Classification

(2011) Guang-Bin Huang et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

A review on solar energy use in industries

(2011) S. Mekhilef et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Finding Nature’s Missing Ternary Oxide Compounds Using Machine Learning and Density Functional Theory

(2010) Geoffroy Hautier et al.   CHEMISTRY OF MATERIALS

Cell-Based Assays for High-Throughput Screening

(2010) W. Frank An et al.   MOLECULAR BIOTECHNOLOGY

Combinatorial Density Functional Theory-Based Screening of Surface Alloys for the Oxygen Reduction Reaction

(2009) Jeff Greeley et al.   Journal of Physical Chemistry C

Modelling of an ICS solar water heater using artificial neural networks and TRNSYS

(2008) M. Souliotis et al.   RENEWABLE ENERGY

Optimal design approach for the plate-fin heat exchangers using neural networks cooperated with genetic algorithms

(2007) Hao Peng et al.   APPLIED THERMAL ENGINEERING