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Title: A Multi-scale, Multi-Model, Machine-Learning Solar Forecasting Technology

Technical Report ·
DOI:https://doi.org/10.2172/1395344· OSTI ID:1395344
 [1]
  1. IBM, Yorktown Heights, NY (United States). Thomas J. Watson Research Center

The goal of the project was the development and demonstration of a significantly improved solar forecasting technology (short: Watt-sun), which leverages new big data processing technologies and machine-learnt blending between different models and forecast systems. The technology aimed demonstrating major advances in accuracy as measured by existing and new metrics which themselves were developed as part of this project. Finally, the team worked with Independent System Operators (ISOs) and utilities to integrate the forecasts into their operations.

Research Organization:
IBM, Yorktown Heights, NY (United States). Thomas J. Watson Research Center
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
DOE Contract Number:
EE0006017
OSTI ID:
1395344
Report Number(s):
DE-EE-0006017
Country of Publication:
United States
Language:
English

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