Web2. LITERATURE REVIEW Natural gas is considered to be a better option than other fossil fuels to bring about a bal-ance between stable economic growth and reduced carbon emission. Thus, it’s important to assess the potential of natural gas consumption in the future in response to national energy planning and economic growth. WebJan 11, 2024 · This study aims to provide accurate forecasting of natural gas load using a deep learning (DL)-based hybrid model, which combines principal component correlation analysis (PCCA) and (LSTM) network. PCCA is an improved principal component analysis (PCA) and is first proposed here in this paper.
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WebMar 28, 2024 · Forecasting Natural Gas: A Literature Survey Author & abstract Download 62 References 18 Citations Most related Related works & more Corrections Author … WebJan 1, 2012 · Forecasting is one of the main tools utilized in energy planning. Recently developed computational techniques such as genetic algorithms have led to easily produced and accurate forecasts. In this paper, a natural gas consumption forecasting methodology is developed and implemented with state-of-the-art techniques. We… View via Publisher rallye maroc
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WebApr 13, 2024 · The global enhanced gas recovery market refers to the use of technologies to increase the amount of natural gas extracted from an underground reservoir. This includes various techniques such as ... WebJun 30, 2024 · The results indicate neural networks as the most common method used for predictions of natural gas consumption, while most accurate methods are genetic algorithms, support vector machines and … http://www.iaeng.org/publication/WCE2012/WCE2012_pp490-497.pdf overall system co ltd