Yiwu Hao

Forecasting U.S. Fossil Energy Consumption: Advancing Accuracy with Multilayer Perceptron and Residual Learning

Yiwu Hao & Qingping He · Journal of Energy Research and Reviews · 2024

Accurate midterm forecasts of fossil fuel consumption are essential for effective energy planning, economic management, and resource allocation. While machine learning models have demonstrated their efficacy in handling large-scale nonlinear datasets, many, including Multilayer P...

Open access Research Article 10.9734/jenrr/2024/v16i6354

Forecasting Oil Production and Consumption Using the Time-delayed Fractional Discrete Grey Model with Multiple Fractional Order

Qingping He & Yiwu Hao · Journal of Engineering Research and Reports · 2024

Accurate production and consumption forecasts play a crucial role in economic development, environmental protection, and market investment. By introducing fractional accumulation and time delay effects, the timedelayed fractional discrete grey model with multiple fractional order...

Open access Research Article 10.9734/jerr/2024/v26i81236

Applications of Fractional Time Delayed Grey Model in Primary Energy Consumption Prediction

Qingping He & Yiwu Hao · Journal of Energy Research and Reviews · 2024

The prediction of total energy consumption is crucial across various domains including the economy, environment, market, and geopolitics. Accurate forecasts can guide policy-making, investment decisions, and international strategies, contributing to sustainable development and en...

Open access Research Article 10.9734/jenrr/2024/v16i5351