System, method, and computer program product for forecasting weather-based demand using proxy data

US7844517B2 · kind B2 · utility

Assignee

• Planalytics, Inc. · US

Inventors

• Michael Willen · Towanda, US
• David Estornell · McKeesport, US
• WILLIAM KIRK · Easton, US
• Eli Miller · Brooks Road, US
• Paul Walsh · Downingtown, US

Key dates

• Filing date: Nov 12, 2003
• Grant date: Nov 30, 2010
• Expiry date: Mar 1, 2027

Classification

• Technology area (CPC G): Physics
• CPC primary: G06Q40/04
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

Weather metrics data and a weather factor relationship knowledgebase are received and used to forecast the weather-based demand. The weather factor relationship knowledgebase can be a weather-impact model. The weather-impact model can comprise at least one of an empirical scoring matrix, a weather indices template, and a proxy model conditions template. The weather-impact model can be derived from an analysis of normalized proxy sales history data. Optionally, the weather-based demand can be scaled, deaggregated, or both.