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