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US Patent 7451017 Energy and cost savings calculation system

Patent 7451017 was granted and assigned to Siemens Building Technologies on November, 2008 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Current Assignee
Siemens Building Technologies
Siemens Building Technologies
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
7451017
Patent Inventor Names
James T. McNally0
Date of Patent
November 11, 2008
Patent Application Number
11772436
Date Filed
July 2, 2007
Patent Citations Received
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US Patent 11768002 Systems and methods to control a communication rate between a thermostat and a cloud based server
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US Patent 11859838 System and method for aligning HVAC consumption with renewable power production with the aid of a digital computer
0
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US Patent 11921478 System and method for estimating periodic fuel consumption for cooling of a building with the aid of a digital computer
0
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US Patent 11934750 System and method for photovoltaic system configuration specification modification with the aid of a digital computer
0
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US Patent 11927977 Smart building manager
0
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US Patent 12124532 System and method for degradation-based service prediction with the aid of a digital computer
0
0
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US Patent 11693152 System and method for estimating photovoltaic energy through irradiance to irradiation equating with the aid of a digital computer
0
...
Patent Primary Examiner
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Michael D Masinick
Patent abstract

An Energy and Cost Savings Calculation System is provided that automates the determination of energy and cost savings due to energy conservation measures. The system provides Multi-Variant, Non-Linear (MVNL) load forecasting techniques, energy and cost savings calculations, and Weather Ranking. The load forecasting technique may accept numerous external parameters as input. The technique may use multiple Baselines. It may also use multiple Basic Reference Periods to reduce the load forecasting error. The load forecasting technique may utilize external parameters that are updated on a daily basis, such as dry bulb temperature, dew point temperature, solar condition, and interval meter data. The technique may use Baseline Extensions to perform forecasts and Reference Period Modifications to enhance accuracy. The system may calculate energy and cost savings using Complex Rates and time-of-use (TOU) energy data. The system may rank a plurality of sources providing weather data to identify the most accurate weather data.

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