Energy Price Forecast
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The Energy Price Forecast dataset provides access to the latest energy price forecasts and historical prices across 9 different commodity groups.
Leverage this dataset to improve trading strategies, investment decisions
and risk management with access to short-term price forecasts available up to 36-months out and long-term price forecasts available up to 30-years out, depending on commodity group. Users can also better understand evolving market dynamics with access to historical cases to compare how outlook has evolved over time.
This dataset includes:
- Historical coverage provided monthly and annually from 1995, depending on commodity group
- Monthly forecast data available through the end of Platts Analytics' short-term forecast period (between 12 and 18 months or 36 months for some commodity groups)
- Annual forecast data available through the end of Platts Analytics' long-term forecast period (between 15 and 20 years)
- Coverage of Oil (Crude Oil and Refined Products including NGL), Americas and European Gas, Americas and European Power, LNG, Coal, Agriculture (Biofuels), Energy Transition (Greenhouse Gas, North American Emissions and RECs)
Vendor information
At S&P Global Energy, our complete view of global energy and commodities markets enables our customers to make decisions with conviction and create long-term, sustainable value. We’re a trusted connector that brings together thought leaders, market participants, governments, and regulators to co-create solutions that lead to progress. Vital to navigating Energy Transition, S&P Global Energy coverage includes oil and gas, power, petrochemicals, metals, agriculture, shipping and more.
- Primary Entity TypeEnergy Transition
- Geographic CoverageGlobal
- Industry CoverageEnergy and Utilities
- History Initiated1995
- Earliest Significant Coverage1995
- Point In TimeNo
- Data SourceS&P Global Energy
- Delivery ChannelAPI, Cloud
- Delivery PlatformAPI, AWS Data Exchange, CORE, Databricks Delta Sharing, Snowflake
- Reporting FrequencyMonthly
- Dataset LatencyIntraday