LNG Outages
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下载链接:
https://marketplace.databricks.com/details/9663b06d-177a-4763-947f-6a81ba6ca424/S-P-Global-Commodity-Insights_LNG-Outages
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资源简介:
**Overview**
The LNG Outages dataset delivers comprehensive data on current, imminent, and historical planned and unplanned outages impacting liquefaction facilities. Leverage this dataset for trend analysis and historical comparison using detailed information on LNG outages within a specified date range.
This dataset includes:
- Liquefaction outage data segmented by planned or unplanned status and confidence level
- Categorized LNG outage data by status type, to analyze the different stages and reasons for outages
- Comprehensive LNG outage data specific to liquefaction projects, allowing for focused analysis
- A unique list of liquefaction project names to identify and differentiate various projects within the dataset
**Use cases**
- Pricing Analysis - Use LNG Outage information to adjust trading positions in anticipation of supply shortages or surpluses, capitalizing on price movement
- Quantitative Analysis - Leverage SPGCI data to design and implement complex and insightful models to support energy and commodities trading
- Asset Valuation - Evaluate the impact of production outages on revenue streams.
- Risk Analysis - Enhance risk management by leveraging data on outages to make informed decisions and minimize potential losses.
**Product details**
Sample Tables:
A ) OUTAGES
B ) LNGANALYTICS_DICTIONARY
Sample Fields:
A ) OUTAGES
- OUTAGE_ID
- ALERT_ID
- STATUS_ID
- AVAILABLE_CAPACITY
- TOTAL_CAPACITY
- CREATE_DATE
- END_DATE
- LIQUEFACTION_PROJECT_ID
B ) LNGANALYTICS_DICTIONARY
- COLUMN_NAME
- DEFINITION
- VIEW_NAME
- DESCRIPTION_EXAMPLE
View Descriptions:
- OUTAGES - Access LNG outages
- LNGANALYTICS_DICTIONARY - Contains descriptions and examples of each of the columns in the above views for a better understanding of the dataset
提供机构:
S&P Global Commodity Insights
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集提供液化天然气设施的当前及历史中断数据,包含按计划状态和置信度分类的详细信息,支持价格分析、风险评估等应用场景。数据结构涵盖中断记录表和字段字典表,便于进行趋势分析和项目比对。
以上内容由遇见数据集搜集并总结生成



