Demand Forecasts
‘Demand Forecasts’ by Yes Energy enable you to make the most informed decisions possible when buying and selling in organized wholesale markets in Europe, New Zealand, Australia, Japan, Philippines, North America, and other regions.
Generated with proprietary forecasting engines, ‘Demand Forecasts’ by Yes Energy feed comprehensive weather variables and calendar information to proprietary algorithms. The advanced regression models use detailed demand and weather observation history and incorporate the latest near-term data to respond to changing weather patterns, extreme weather events, and holidays that might impact energy demand. This is all backed by an expert team of analysts and engineers reviewing and maintaining every model, ensuring the most accurate and reliable forecasting in the industry.
| Access | API, Cloud, Web Interface |
| Region | Asia, Australia, Europe, New Zealand, North America |
| Format | CSV, HTML, JSON, XLS, XML |
| Frequency | hourly |
| Granularity | 15min |
| History | ≥ 2019 |
What is provided
> Short-Range Load Forecast: Fourteen-day horizon deterministic forecasts, with easy access to historical forecast data for trade strategy back-testing.
> Comparable Day Analysis: Find similar historical days to compare to a date in the horizon for sanity checking forecast shapes during unusual weather patterns.
> Temperature Sensitivity: See how the electricity demand forecast behaves when you raise or lower the temperature projection.
> Weather Decomposition: Strip out the impact of weather on electric load to reveal true base load demand patterns or isolate the impact of weather parameters on demand for past dates.
> Weather Risk (Medium-Range Load Forecast): Explore forecasts up to 2 years in the future using historically observed weather data.
Advantages
> Forecasts for Load, Renewables, Gas & Heating: Manage risk and gain a competitive edge with accurate forecasts for electric load, solar and wind generation, gas consumption, and district heating.
> Econometric Forecasting Model: Leverage a highly accurate power demand model that performs exceptionally well even on volatile days — constantly refined by a dedicated team of data analysts.
> Analyst-Supported Forecasts: Gain insights from the analysts behind the forecast to understand the drivers and context behind the numbers.
> Global Coverage: Access forecasting data for markets across Europe, the Americas, and Asia Pacific for a truly global market perspective. Scalable from national level, ISO/TSO, subregion, or control zone.
How to connect
Demand Forecasts
Yes Energy provides robust documentation to support effective use of its data. A web-based Help System includes detailed explanations and user guides, while an interactive Data Catalog enables easy browsing and discovery of datasets, sources, and data types. API endpoint examples and sample queries are also provided to facilitate rapid development, testing, integration, and analysis.
Prices
Please contact us for detailed pricing information.
Contact Us
| Department | Sales |
| Phone | +1 303 993 2773 |
| info@yesenergy.com | |
| Website | www.yesenergy.com |
About Yes Energy
Win the Day Ahead®
Yes Energy empowers confident, data-driven decisions in the energy sector by delivering the most comprehensive and trusted power market data and analytics available. In a complex and fast-moving market, we help traders, analysts, developers, operators, and investors forecast with greater accuracy, respond to opportunities faster, and manage risk more effectively — all through seamless access to high-quality, analytics-ready data.
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Demand Forecasts
‘Demand Forecasts’ by Yes Energy enable you to make the most informed decisions possible when buying and selling in organized wholesale markets in Europe, New Zealand, Australia, Japan, Philippines, North America, and other regions.
Generated with proprietary forecasting engines, ‘Demand Forecasts’ by Yes Energy feed comprehensive weather variables and calendar information to proprietary algorithms. The advanced regression models use detailed demand and weather observation history and incorporate the latest near-term data to respond to changing weather patterns, extreme weather events, and holidays that might impact energy demand. This is all backed by an expert team of analysts and engineers reviewing and maintaining every model, ensuring the most accurate and reliable forecasting in the industry.
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