Energy and cost savings calculation system
First Claim
1. A method of forecasting energy loads, the method comprising:
- forecasting an energy load for a building using a multi-variant non-linear (MVNL) load forecasting technique, the MVNL load forecasting technique accounts for the effect of weather in forecasting the energy load by modifying a reference period having associated energy and weather data such that the weather data of the reference period as modified approximately matches weather experienced during a current reporting period to provide an indication of the effect of weather on energy usage during the current reporting period.
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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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Citations
18 Claims
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1. A method of forecasting energy loads, the method comprising:
forecasting an energy load for a building using a multi-variant non-linear (MVNL) load forecasting technique, the MVNL load forecasting technique accounts for the effect of weather in forecasting the energy load by modifying a reference period having associated energy and weather data such that the weather data of the reference period as modified approximately matches weather experienced during a current reporting period to provide an indication of the effect of weather on energy usage during the current reporting period. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A method of forecasting energy loads, the method comprising:
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receiving weather data associated with a plurality of weather parameters; receiving energy data associated with energy usage; performing Multi-Variant Non-Linear (MVNL) load forecasting using the weather data and the energy data received as inputs; adjusting the load forecasting based upon billing determinants; and further adjusting the load forecasting based upon complex rate schedules to determine a cost or cost savings, wherein the MVNL load forecasting modifies a reference period having associated energy and weather data such that the weather data of the reference period as modified approximately matches weather experienced during a current reporting period to provide an indication of the effect of weather on energy usage during the current reporting period. - View Dependent Claims (14, 15, 16)
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17. A method of forecasting energy loads, the method comprising:
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establishing a baseline from weather and energy data collected; dividing the baseline into basic reference periods corresponding to specific time periods, each of the basic reference periods having a corresponding weather data set; identifying a past weather data set associated with a basic reference period from among all of the weather data sets that most closely resembles weather during a current reporting period; and using past energy usage associated with the past weather data set identified as a starting point in calculating energy usage during the current reporting period, wherein if outside air temperature of the current reporting period is outside a temperature range associated with the basic reference period, adjusting the past weather data set associated with the basic reference period to more accurately reflect the weather during the current reporting period. - View Dependent Claims (18)
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Specification