A short-term wind power forecasting method based on multivariate signal decomposition and variable selection
T Yang, Z Yang, F Li, H Wang - Applied Energy, 2024 - Elsevier
Accurate and effective short-term wind power forecasting is vital for the large-scale
integration of wind power generation into the power grid. However, due to the intermittence …
integration of wind power generation into the power grid. However, due to the intermittence …
Estimation of global natural gas spot prices using big data and symbolic regression
This article provides an estimation of future natural gas spot prices on the global
international market based on symbolic regression where the sensitivity analysis is …
international market based on symbolic regression where the sensitivity analysis is …
Fossil energy market price prediction by using machine learning with optimal hyper-parameters: A comparative study
S Lahmiri - Resources Policy, 2024 - Elsevier
Fossil energy markets are important commodities, and their price fluctuations impact
worldwide economy and financial markets. Hence, it is essential to forecast the prices of …
worldwide economy and financial markets. Hence, it is essential to forecast the prices of …
Point and interval forecasting for wine prices: an approach based on artificial intelligence
H Cui, H Guo, J Wang, Y Wang - International Journal of …, 2024 - emerald.com
Purpose With the rise in wine consumption, accurate wine price forecasts have significantly
impacted restaurant and hotel purchasing decisions and inventory management. This study …
impacted restaurant and hotel purchasing decisions and inventory management. This study …
Do multisource data matter for NGP prediction? Evidence from the G-LSTM model
J Hao, S Shang, J Yuan, J Li - Heliyon, 2024 - cell.com
Precisely predicting natural gas prices (NGPs) is important because it can provide the
necessary decision-making basis for energy scheduling, planning and control. However …
necessary decision-making basis for energy scheduling, planning and control. However …
Artificial Intelligence in Natural Resources Management: Selected Case Studies from Africa
M Kapatamoyo - 2024 - econstor.eu
This paper explores Artificial Intelligence (AI)'s transformative role in digital transformation
and its implications for Africa's socio-economic development. We examine how AI's …
and its implications for Africa's socio-economic development. We examine how AI's …