Skip to content

DNV’s Forecaster delivers insight into renewable energy supply and demand through reliable data-driven predictions to help you maximize profits, avoid missed opportunities and optimize operations. Our proven methodology combines industry leading models from the world’s foremost meteorological agencies with an unparalleled understanding of renewable energy systems, plus cutting-edge statistical and physical models, machine learning and data analytics. As a result, our forecasts are globally renowned for accuracy and reliability.

Introduction

Example

Introduction
DNV Forecaster produces wind power forecasts for wind farms in over 20 countries across 6 continents. With our industry leading range of models from the world’s foremost meteorological agencies, combined with our cutting edge statistical, physical and machine learning models, we are able to offer accurate and reliable forecasts for a single project, a portfolio of projects, or your market of interest.
Example
Wind Power Forecasting 700x282pxl

Introduction

Example

Introduction
Solar power forecasting 700x258pxl
Example
DNV Forecaster accesses its vast repository of global weather model data to help predict solar power output in many different regions and climate regimes throughout the world for both front-of-meter and behind-the-meter PV installations. Solar forecasts incorporate physical modelling as well as more advanced statistical and machine learning techniques, along with real-time plant feedback data to accurately predict intra-day and next days’ power output. Solar power forecasts are tailored to your specific project, portfolio, or market of interest.

Introduction

Example

Introduction
DNV leverages its extensive knowledge and expertise in weather forecasting, machine learning, and power systems planning to produce accurate and reliable predictions of power demand on an electrical system. Power demand forecasts can be produced for large electrical systems, such as country or market level, or for much smaller systems, such as a commercial or residential building.
Example
Power Demand Forecasting 700x264pxl

Introduction

Introduction
For your soon-to-be operational wind or solar plant, hindcasts provide a wind or solar plant owner or operator an expectation of forecast behavior and accuracies at the site, allowing for increased preparedness and confidence in decision making and planning once the plant is operational. DNV Forecaster can be enabled in hindcast mode to deliver wind or solar power predictions at a given site for up to several years in the past. In addition, on-site or near-site met data can be used to produce and deliver an estimation of actual power production over the desired period.

What we offer:

  • Automated provision of power and meteorological forecasts via API, SFTP or email
  • Flexible forecast update frequencies from daily to 5-minutely
  • Flexible forecast granularities from hourly to 5-minutely
  • Flexible forecast outlook periods extending to 15 days
  • Probabilistic power forecasts
  • Ramp forecasts
  • Seasonal/monthly reports and outlooks
  • Web portal access to view latest forecast information and recent performance
  • Interactive heat map product to view ISO plant forecasts and estimated actuals by location (North America only)
  • 24/7/365 global support through phone and email


Forecaster interactive heat map 770x434pxl

Contact the Forecaster team

Contact Us