A5092446658- Energy Load and Power Forecasting
- Electric Power System Optimization
- Market Dynamics and Volatility
- Microgrid Control and Optimization
- Financial Markets and Investment Strategies
- Smart Grid Energy Management
- Grey System Theory Applications
- Integrated Energy Systems Optimization
- Energy, Environment, Economic Growth
- Smart Grid and Power Systems
- Power System Reliability and Maintenance
- Image and Signal Denoising Methods
Xi'an Jiaotong University
2023-2024
Real-time electricity price forecasting affects both the interests of power companies and stability systems. Although deep learning models have achieved rich results in forecasting, due to variable temporal characteristics numerous influencing factors real-time prices, it is difficult for general extract features with obvious regularity, which accuracy. To solve this problem, paper proposes an attention mechanism multi-size depthwise convolutional long short-term memory neural network...
Green economy is the way forward to achieve economic, social and environmental, sustainable development. However, accelerate transition green economy, private sector companies need understand impact of imposing polices activities on economy. Therefore, this paper examines growth future aggregate stock market returns European exchanges. Using fixed effects model, results show that policies result in lower consistent with investors' perceived reduction risk argument. The findings enhance our...
To maintain power system stability, accurate wind speed prediction is essential. Taking into account the temporal and spatial characteristics of in an integrated manner can improve accuracy prediction. Considering complex nonlinear factors such as wake effects farms, a deep residual network valuable predicting with high degree accuracy. Wind data are typically time series that requires feature extraction attribute modeling, while maintaining signal integrity. In order to measure importance...