A5100431684- Financial Markets and Investment Strategies
- Energy, Environment, Economic Growth
- Housing Market and Economics
- Stochastic processes and financial applications
- Financial Risk and Volatility Modeling
- Credit Risk and Financial Regulations
- Complex Systems and Time Series Analysis
- Stock Market Forecasting Methods
- Energy, Environment, and Transportation Policies
- Environmental Sustainability in Business
- Solar Radiation and Photovoltaics
- Monetary Policy and Economic Impact
- Market Dynamics and Volatility
- Energy and Environment Impacts
- Financial Reporting and Valuation Research
- Injection Molding Process and Properties
- Catalytic Processes in Materials Science
- Climate Change Policy and Economics
- Air Quality and Health Impacts
- Environmental Impact and Sustainability
- Photovoltaic System Optimization Techniques
- Advanced ceramic materials synthesis
- Sustainable Supply Chain Management
- Face and Expression Recognition
- Advanced Algorithms and Applications
Guangdong University of Technology
2012-2024
Xinjiang University
2023-2024
Zhejiang A & F University
2024
China Three Gorges University
2024
Ningbo University of Technology
2022-2023
Texas A&M University
2012-2023
Northwest Normal University
2023
Yulin University
2022-2023
Harbin Normal University
2023
Nanjing Audit University
2022
In this paper, the energy supply of a zero-energy building with 220 square meters is considered using optimized nanocomposite solar panels respect to maximum efficiency. An hybrid machine learning method plays key role in presenting panel modeling over 0.99% accuracy. Predicting properties nanomaterial cell four different seasons performed by efficient support vector machines (SVM), and k-nearest neighbors (KNN) algorithms. addition, KNN algorithm Particle Swarm Optimization (PSO) improve...
The randomness, volatility, and intermittence of solar power generation make it difficult to achieve the desired accuracy PV output-power prediction. Therefore, time learning weight (TLW) proposed in this paper is used improve correlation LSTM network. Fusion Activation Function (FAF) resolve gradient disappearance. Learning Factor Adaptation (LFA) Momentum Resistance Weight Estimation (MRWE) are accelerate convergence global search capabilities. Finally, synthesizes improvement proposes...
Catalyst sintering caused by high temperature operating conditions during ethanol steam reforming (ESR) is a common issue for traditional catalysts with low Tammann metals. In recent years, entropy oxides have been popular in thermal catalysis due to their special thermodynamics and kinetics characteristics, which expected be suitable approach enhancing catalyst stability. This paper first reports the application of HEO ESR characterization. The results exhibited nano structure...
This study aims to evaluate the effect of electricity production on industrial development and sustainable economic growth. In this context, Brazil, Russia, India, China, South Africa (BRICS), countries which have highest increase in period 2000–2018, are included scope study. Annual data these variables 1991–2018 used three different models created by using Vector Auto Regression (VAR) methodology. The findings state that BRICS has a positive both Hence, needs be increased for them. For...
Abstract The purpose of this study is to provide a hybrid group decision-making approach evaluate fintech-based financial alternatives for green energy investment projects. First, the multidimensional factors due diligence financing projects are identified. In regard, balanced scorecard perspectives considered. Next, consensus-based analysis performed. Second, impact-relation directions defined. For purpose, spherical fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL)...
We utilize open source datasets of anomaly portfolios to conduct cross-sectionalregression tests alternative asset pricing models. Out-of-sample analyses showthat a recently proposed model dubbed the ZCAPM well outperforms leadingmultifactor models in terms factor loading significance and goodness-of-fit. Also,the markedly multifactor graphical ofpricing errors that compare realized returns predicted on an out-of-samplebasis. Further subperiod corroborate these findings. Consistent with...
With the rapid development of regional economy, energy consumption and carbon dioxide emission increase sharply. This study examines relationship between emissions economic growth. Based on mean value decomposition method double logarithm, model was built to identify key indexes affecting decomposition, formula calculated obtain emission. actual data, kuznets curve is established represent CO2 growth in logarithm form. The unit root test, co-integration test granger causality are carried out...
In a recent book, Kolari et al. developed new theoretical capital asset pricing model dubbed the ZCAPM. Based on out-of-sample cross-sectional tests using U.S. stocks, ZCAPM consistently outperformed well-known multifactor models popular in finance literature. This paper presents further evidence that expands their sample period from 1927 to 2020. Results are provided for subperiods 1964 and 1965 Our results corroborate those of KLH. tests, outperforms CAPM as well Fama French three-factor...