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Natural Gas Demand Forecasting Model Based on LASSO and Polynomial Models and Its Application: A Case Study of China

Energies, 2023
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 reduction, so it is necessary to ...
Huanying Liu, Yulin Liu, Changhao Wang, Yanling Song, Wei Jiang, Cuicui Li, Shouxin Zhang, Bingyuan Hong   +7 more
doaj   +3 more sources

From traditional to modern methods: Comparing and introducing the most powerful model for forecasting the residential natural gas demand

Energy Reports, 2022
Natural gas demand forecasting is of great importance for politicians and authorities, specifically in the residential sector, as a substantial percentage of residential energy consumption is related to natural gas.
Mohamad Hossein Safiyari, Saeed Shavvalpour, Sina Tarighi   +2 more
doaj   +3 more sources

Day-Ahead Natural Gas Demand Forecasting Using Optimized ABC-Based Neural Network with Sliding Window Technique: The Case Study of Regional Basis in Turkey

Energies, 2017
The increase of energy consumption in the world is reflected in the consumption of natural gas. However, this increment requires additional investment. This effect leads imbalances in terms of demand forecasting, such as applying penalties in the case of
Mustafa Akpinar, M. Fatih Adak, Nejat Yumusak   +2 more
doaj   +3 more sources

Combining Grey Model and Self-Adapting Intelligent Grey Model with Genetic Algorithm and Annual Share Changes in Natural Gas Demand Forecasting

Energies, 2018
Along with the high growth rate of economy and fast increasing air pollution, clean energy, such as the natural gas, has played an important role in preventing the environment from discharge of greenhouse gases and harmful substances in China. It is very
Guo-Feng Fan, An Wang, Wei-Chiang Hong
doaj   +3 more sources

Natural Gas Matters: LNG and India’s Quest for Clean Energy

Gases
India, the world’s most populous country, is the world’s third-largest emitter of greenhouse gases (GHGs). Despite employing several energy sources, it still relies heavily on coal, its primary energy source.
Subhadip Ghosh, Rajarshi Majumder, Bidisha Chatterjee   +2 more
doaj   +2 more sources

Forecasting monthly residential natural gas demand in two cities of Turkey using just-in-time-learning modeling. [PDF]

PLoS ONE
Natural gas (NG) is relatively a clean source of energy, particularly compared to fossil fuels, and worldwide consumption of NG has been increasing almost linearly in the last two decades.
Burak Alakent, Erkan Isikli, Cigdem Kadaifci, Tonguc S Taspinar   +3 more
doaj   +3 more sources

Natural Gas Consumption Forecasting Model Based on Feature Optimization and Incremental Long Short-Term Memory [PDF]

Sensors
Natural gas, as a vital component of the global energy structure, is widely utilized as an important strategic resource and essential commodity in various fields, including military applications, urban power generation and heating, and manufacturing ...
Huilong Wang, Xianjun Gao, Ying Zhang, Yuanwei Yang   +3 more
doaj   +2 more sources

Forecasting medium-term natural gas demand for the European Union [PDF]

Przegląd Europejski, 2022
The European Commission proposed to increase the greenhouse gas emission reduction target to at least 55% by 2030 compared to 1990 level. The aim of this article is to visualise the EU natural gas consumption trend until 2023 regarding to energy ...
Tomasz Chrulski
doaj   +1 more source

Natural Gas Consumption Forecasting Based on the Variability of External Meteorological Factors Using Machine Learning Algorithms

Energies, 2022
Natural gas consumption depends on many factors. Some of them, such as weather conditions or historical demand, can be accurately measured. The authors, based on the collected data, performed the modeling of temporary and future natural gas consumption ...
Wojciech Panek, Tomasz Włodek
doaj   +1 more source

Forecasting intermittent demand [PDF]

, 2006
Methods for forecasting intermittent demand are compared using a large data-set from the UK Royal Air Force (RAF). Several important results are found.
Teunter, R H, Duncan, L
core   +4 more sources