Service demand potential prediction device
US-2024346532-A1 · Oct 17, 2024 · US
Near-term data filtering, smoothing and load forecasting
US9633359B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9633359-B2 |
| Application number | US-201313931646-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jun 28, 2013 |
| Priority date | Aug 10, 2012 |
| Publication date | Apr 25, 2017 |
| Grant date | Apr 25, 2017 |
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Abstract
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Techniques for near-term data filtering, smoothing and forecasting are described herein. In one example, data is received from supervisory control and data acquisition (SCADA) measurements available in an electrical grid. The data may be filtered according to a two-stage Kalman filter, which may include a ramp rate filter test and a load level filter test. The filtered data may then be smoothed according to an augmented Savitzky-Golay filter. Within the filter, a lift multiplier may correct for bias, which may have been introduced by load changes (e.g., an early morning increase in load). In one example, the lift multiplier may be calculated as a ratio between a smoothed load from a centered Savitzky-Golay moving average and a right hand side constrained Savitzky-Golay moving average. The filtered and smoothed data may be used in forming near-term forecast(s), which may be performed by autoregressive model(s).
First claim
Opening claim text (preview).
What is claimed is: 1. One or more non-transitory computer-readable media storing computer-executable instructions that, when executed, cause one or more processors to perform acts comprising: receiving data from supervisory control and data acquisition (SCADA) measurements of an electrical grid; filtering the data according to a ramp rate filter test and a load level filter test; smoothing the filtered data according to an augmented Savitzky-Golay filter; removing bias from the smoothed filtered data using a lift multiplier that is based at least in part on a ratio of two Savitzky-Golay moving averages, wherein the removal of bias comprises multiplication of different data by different lift multipliers over different periods of time to thereby estimate loads on the electrical grid over the different periods of time, wherein the lift multiplier is described by: Lift t = [ ∑ d = 1 D ( W 0 L t d + ∑ j = 1 J ( W j L t - j d + W j L t + j d ) W 0 + ∑ j = 1 J ( W j + W j ) W 0 L t d + ∑ j = 1 J W j L t - j d W 0 + ∑ j = 1
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electric · CPC title
Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling · CPC title
- G06Q30/0202Primary
Market predictions or forecasting for commercial activities · CPC title
Energy or water supply · CPC title
using feedback · CPC title
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- What does patent US9633359B2 cover?
- Techniques for near-term data filtering, smoothing and forecasting are described herein. In one example, data is received from supervisory control and data acquisition (SCADA) measurements available in an electrical grid. The data may be filtered according to a two-stage Kalman filter, which may include a ramp rate filter test and a load level filter test. The filtered data may then be smoothed…
- Who is the assignee on this patent?
- Itron Inc
- What technology area does this patent fall under?
- Primary CPC classification G06Q30/0202. Mapped technology areas include Physics.
- When was this patent published?
- Publication date Tue Apr 25 2017 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
- What related patents are in patentsdb?
- We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).