Visibility graph network analysis of natural gas price: The case of North American market

2016 ◽  
Vol 462 ◽  
pp. 1-11 ◽  
Author(s):  
Mei Sun ◽  
Yaqi Wang ◽  
Cuixia Gao
Keyword(s):  
Network Analysis ◽  
Natural Gas ◽  
North American ◽  
Visibility Graph ◽  
North American Market ◽  
Gas Price

Three-level network analysis of the North American natural gas price: A multiscale perspective

2020 ◽  
Vol 67 ◽  
pp. 101420
Author(s):  
Shuyu Liu ◽  
Shupei Huang ◽  
Yuxi Chi ◽  
Sida Feng ◽  
Yang Li ◽  
...  
Keyword(s):  
Network Analysis ◽  
Natural Gas ◽  
North American ◽  
The North ◽  
Gas Price

scholarly journals Liquefied Natural Gas Development: Overview and the Growth of Future Gas Supply for the North American Market

2005 ◽  
Author(s):  
Michael J. Black ◽  
Peter A. Bryan ◽  
Jeffrey D. Scobie
Keyword(s):  
North America ◽  
Natural Gas ◽  
North American ◽  
Joint Venture ◽  
Liquefied Natural Gas ◽  
The North ◽  
North American Market ◽  
Natural Gas Development ◽  
Accepted Practice ◽  
And Storage

The business of liquefied natural gas (LNG) has very quickly become a topical and important energy concern. While the liquefication process has been developed and refined for a number of decades and importation of LNG is an accepted practice in the Middle East, Japan, Korea and parts of Europe, it is a relatively new source of supply in North America. However, increased North American demand for natural gas, coupled with diminishing production from accessible basins in Western Canada and the reduced costs and efficiencies of ships, liquefaction plants and storage terminals, have rendered LNG a viable and price competitive supply alternative. The LNG industry provides unique challenges to producers, regulators, consumers and stakeholders. Producers must not only negotiate development, joint venture and sale and purchase agreements, but also arrange for shipping and transportation and terminal services agreements. In North America, while regulators have divided jurisdiction over LNG terminal facilities on the basis of the location of the facility, the stage of production and the degree of integration with related infrastructure, they also appear to be encouraging further development by facilitating regulatory approval. As the Fairwinds and Qatar Petroleum projects demonstrate, the evolution of the LNG industry is dependent upon a delicate collaboration of governments, regulators, producers, financiers, consumers and stakeholders.

scholarly journals North American energy system responses to natural gas price shocks

Energy Policy ◽  
2020 ◽  
pp. 112046
Author(s):  
Maxwell Brown ◽  
Sauleh Siddiqui ◽  
Charalampos Avraam ◽  
John Bistline ◽  
Joseph Decarolis ◽  
...  
Keyword(s):  
Natural Gas ◽  
North American ◽  
Energy System ◽  
Price Shocks ◽  
Gas Price

Peak-Shaving Ratio Analysis of the Natural Gas Combined Heat and Power Plant With Distributed Peak-Shaving Heat Pumps

2017 ◽  
Author(s):  
Xiling Zhao ◽  
Xiaoyin Wang ◽  
Tao Sun
Keyword(s):  
Natural Gas ◽  
Heat Source ◽  
Heat Pump ◽  
Gas Turbines ◽  
Heat Load ◽  
Operating Cost ◽  
Heat Pumps ◽  
Optimized Design ◽  
Peak Shaving ◽  
Gas Price

Distributed peak-shaving heat pump technology is to use a heat pump to adjust the heat on the secondary network in a substation, with features of low initial investment, flexible adjustment, and high operating cost. The paper takes an example for the system that uses two 9F class gas turbines (back pressure steam) as the basic heat source and a distributed heat pump in the substation as the peak-shaving heat source. The peak-shaving ratio is defined as the ratio of the designed peak-shaving heat load and the designed total heat load. The economic annual cost is taken as a goal, and the optimal peak-shaving ratio of the system is investigated. The influence of natural gas price, electricity price, and transportation distance are also analyzed. It can provide the reference for the optimized design and operation of the system.

scholarly journals News-Based Research on Forecast of International Natural Gas Price Trend

2020 ◽  
Author(s):  
Tianxiang Li ◽  
Xiaosong Han ◽  
Aoqing Wang ◽  
Hui Li ◽  
Guosheng Liu ◽  
...  
Keyword(s):  
Time Series ◽  
Deep Learning ◽  
Natural Gas ◽  
Predictive Accuracy ◽  
Price Trend ◽  
Learning Network ◽  
Natural Gas Prices ◽  
Deep Learning Network ◽  
Sentiment Score ◽  
Gas Price

In this paper, we build a deep learning network to predict the trends of natural gas prices. Given a time series, for each day, the gas price trend is classified as “up” and “down” according to the price compared to the last day. Meanwhile, we collect news articles as experimental materials from some natural gas related websites. Every article was then embedded into vectors by word2vec, weighted with its sentiment score, and labeled with corresponding day’s price trend. A CNN and LSTM fused network was then trained to predict price trend by these news vectors. Finally, the model’s predictive accuracy reached 62.3%, which outperformed most of other traditional classifiers.

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