Sparse regression modeling for short- and long‐term natural gas demand prediction
Sign Up to like & getrecommendations! Published in 2021 at "Annals of Operations Research"
DOI: 10.1007/s10479-021-04089-x
Abstract: The multivariate adaptive regression splines (MARS) model is a flexible non-parametric sparse regression algorithm and provides an excellent promise to data fitting through nonlinear basis functions. During the last decades, it is employed in many… read more here.
Keywords: regression; short long; gas demand; sparse regression ... See more keywords
Potential of Power-to-Methane in the EU energy transition to a low carbon system using cost optimization
Sign Up to like & getrecommendations! Published in 2018 at "Applied Energy"
DOI: 10.1016/j.apenergy.2018.08.027
Abstract: Power-to-Methane (PtM) can provide flexibility to the electricity grid while aiding decarbonization of other sectors. This study focuses specifically on the methanation component of PtM in 2050. Scenarios with 80–95% CO2 reduction by 2050 (vs.… read more here.
Keywords: energy; power; methane; gas demand ... See more keywords
Day-ahead natural gas demand forecasting based on the combination of wavelet transform and ANFIS/genetic algorithm/neural network model
Sign Up to like & getrecommendations! Published in 2017 at "Energy"
DOI: 10.1016/j.energy.2016.12.033
Abstract: Accurate forecasts of natural gas demand can be essential for utilities, energy traders, regulatory authorities, decision makers and others. The aim of this paper is to test the robustness of a novel hybrid computational intelligence… read more here.
Keywords: day ahead; gas; model; natural gas ... See more keywords
Global natural gas demand to 2025: A learning scenario development model
Sign Up to like & getrecommendations! Published in 2021 at "Energy"
DOI: 10.1016/j.energy.2021.120167
Abstract: Abstract Scenario development approaches are designed to deal with chaotic behaviors of complex systems and are widely used in the case of energy-related demand forecasting and policy planning. Building on traditional qualitative scenario models, a… read more here.
Keywords: global natural; gas demand; scenario; natural gas ... See more keywords
Sectoral and temporal changes in natural gas demand in the United States
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Natural Gas Science and Engineering"
DOI: 10.1016/j.jngse.2021.104245
Abstract: Abstract This research explores the temporal and spatial variation of sectoral natural gas demand in the United States. Fixed-effects econometric methods with robust identification approaches are the empirical techniques configured in the study using monthly… read more here.
Keywords: demand united; gas; united states; natural gas ... See more keywords
Natural Gas Demand Forecasting Model Based on LASSO and Polynomial Models and Its Application: A Case Study of China
Sign Up to like & getrecommendations! Published in 2023 at "Energies"
DOI: 10.3390/en16114268
Abstract: China aims to reduce carbon dioxide emissions and achieve peak carbon and carbon neutrality goals. Natural gas, as a high-quality fossil fuel energy, is an important transition resource for China in the process of carbon… read more here.
Keywords: forecasting model; gas; gas demand; natural gas ... See more keywords