Modeling energy demand—a systematic literature review
PA Verwiebe, S Seim, S Burges, L Schulz… - Energies, 2021 - mdpi.com
In this article, a systematic literature review of 419 articles on energy demand modeling,
published between 2015 and 2020, is presented. This provides researchers with an …
published between 2015 and 2020, is presented. This provides researchers with an …
Application of forecasting strategies and techniques to natural gas consumption: A comprehensive review and comparative study
N Tian, B Shao, G Bian, H Zeng, X Li, W Zhao - Engineering Applications of …, 2024 - Elsevier
Accurate forecasting of natural gas consumption (NGC) plays an important role in energy
supply, energy trading, economic effects and environmental sustainability. NGC forecasts …
supply, energy trading, economic effects and environmental sustainability. NGC forecasts …
Natural gas consumption forecast with MARS and CMARS models for residential users
Prediction natural gas consumption is indispensable for efficient system operation and
required for planning decisions at natural gas Local Distribution Companies (LDCs) …
required for planning decisions at natural gas Local Distribution Companies (LDCs) …
Forecasting petroleum products consumption in Cameroon's household sector using a sequential GMC (1, n) model optimized by genetic algorithms
FE Sapnken, KA Ahmat, M Boukar, SLB Nyobe… - Heliyon, 2022 - cell.com
Forecasting energy consumption is a major concern for policymakers, oil industry
companies, and many other associated businesses. Though there exist many forecasting …
companies, and many other associated businesses. Though there exist many forecasting …
Forecasting day-ahead natural gas demand in Denmark
OA Karabiber, G Xydis - Journal of Natural Gas Science and Engineering, 2020 - Elsevier
Natural gas demand forecasting is important for all players in the natural gas market. This
work compares four possible day ahead natural gas consumption forecasting models in …
work compares four possible day ahead natural gas consumption forecasting models in …
Forecasting natural gas consumption of China using a novel grey model
C Zheng, WZ Wu, J Jiang, Q Li - Complexity, 2020 - Wiley Online Library
As is known, natural gas consumption has been acted as an extremely important role in
energy market of China, and this paper is to present a novel grey model which is based on …
energy market of China, and this paper is to present a novel grey model which is based on …
[HTML][HTML] A sigmoid regression and artificial neural network models for day-ahead natural gas usage forecasting
Reliable and accurate day-ahead forecasting of natural gas consumption is vital for the
operation of the Energy sector. Three different forecasting models are developed in this …
operation of the Energy sector. Three different forecasting models are developed in this …
Sparse regression modeling for short-and long‐term natural gas demand prediction
A Özmen - Annals of Operations Research, 2023 - Springer
The multivariate adaptive regression splines (MARS) model is a flexible non-parametric
sparse regression algorithm and provides an excellent promise to data fitting through …
sparse regression algorithm and provides an excellent promise to data fitting through …
A method for natural gas forecasting and preliminary allocation based on unique standard natural gas consumption profiles
J Ravnik, M Hriberšek - Energy, 2019 - Elsevier
The paper reports on the development of unique standard gas consumption profiles for the
end gas consumers and the preparation of a method for the implementation of the …
end gas consumers and the preparation of a method for the implementation of the …
A Piecewise Linear Regression Model Ensemble for Large-Scale Curve Fitting
S Moreno-Carbonell, EF Sánchez-Úbeda - Algorithms, 2024 - mdpi.com
The Linear Hinges Model (LHM) is an efficient approach to flexible and robust one-
dimensional curve fitting under stringent high-noise conditions. However, it was initially …
dimensional curve fitting under stringent high-noise conditions. However, it was initially …