The dataset of PTC model
- Citation Author(s):
-
Hao Wang
(wh2197821281@163.com)
- Submitted by:
- Wang Hao
- Last updated:
- DOI:
- 10.21227/eq2n-b656
- Data Format:
7 views
- Categories:
- Keywords:
Abstract
This dataset provides a comprehensive overview of the natural gas price index system from 2004 to 2024. It includes monthly data on key factors influencing natural gas prices, such as coal prices, crude oil prices, heating oil prices, geopolitical factors, S&P500 index, natural gas supply, consumption, extraction volume, imports, storage levels, maximum and minimum temperatures, heating degree days (HDD), cooling degree days (CDD), and natural gas prices. The dataset covers a 20-year period, offering valuable insights into the trends and patterns of natural gas prices and their relationship with various economic, political, and environmental factors. It serves as a useful resource for researchers, analysts, and policymakers in the energy sector to understand the dynamics of natural gas markets and to develop strategies for energy planning and investment.
Instructions:
This dataset offers a detailed analysis of the natural gas price index system spanning from 2004 to 2024. It encompasses a wide range of variables that impact natural gas prices, including coal, crude oil, and heating oil prices, geopolitical factors, stock market trends reflected by the S&P500, and natural gas market fundamentals such as supply, consumption, extraction, imports, and storage. Additionally, it incorporates meteorological data like temperature extremes and degree days, which are crucial for assessing seasonal demand fluctuations. By aggregating these variables over a two-decade period, the dataset enables an in-depth analysis of natural gas price dynamics. It reveals how price trends correlate with energy market trends, geopolitical events, and seasonal consumption patterns. As a result, it becomes a vital tool for energy researchers and industry professionals aiming to predict market behavior, formulate energy policies, and optimize natural gas-related investments.
