From cf8f96c1c10d29034982ef64e93c2b09490a1ae0 Mon Sep 17 00:00:00 2001 From: Duncan Ragsdale <88173870+Thistleman@users.noreply.github.com> Date: Fri, 15 Mar 2024 18:39:25 -0700 Subject: [PATCH] added updated md docs for FE Signed-off-by: Duncan Ragsdale <88173870+Thistleman@users.noreply.github.com> --- .../public/assets/1/SubmissionInstructions.md | 27 +++++++++++++++++- .../assets/1/histogram-mae-data-freq.png | Bin 0 -> 20516 bytes .../public/assets/1/histogram-mae-issue.png | Bin 0 -> 24956 bytes frontend/public/assets/1/run_time_dist.png | Bin 0 -> 9184 bytes frontend/public/assets/1/time_series_data.PNG | Bin 0 -> 25600 bytes .../assets/1/time_series_validation_data.PNG | Bin 0 -> 12821 bytes 6 files changed, 26 insertions(+), 1 deletion(-) create mode 100644 frontend/public/assets/1/histogram-mae-data-freq.png create mode 100644 frontend/public/assets/1/histogram-mae-issue.png create mode 100644 frontend/public/assets/1/run_time_dist.png create mode 100644 frontend/public/assets/1/time_series_data.PNG create mode 100644 frontend/public/assets/1/time_series_validation_data.PNG diff --git a/frontend/public/assets/1/SubmissionInstructions.md b/frontend/public/assets/1/SubmissionInstructions.md index 4fbcc448..d6c344d9 100644 --- a/frontend/public/assets/1/SubmissionInstructions.md +++ b/frontend/public/assets/1/SubmissionInstructions.md @@ -6,7 +6,17 @@ For each AC power stream analyzed, there are two sets of data: 1) The associated time series data for the AC power, in kW, and an index for timezone-aware datetime. 2) The time shift validation file, which gives the associated time shift amount on a daily basis. A daily timezone-unaware timestamp is used as the associated index. -An example time series and its associated time shift data are shown in Figures XX and XX, respectively. An example dataset is provided for reference here. +An example time series and its associated time shift data are shown in Figures 1 and 2, respectively. An example dataset is provided for reference here. + +![image info](./time_series_data.PNG) + +*Figure 1: Snapshot of the structure of the time series data analyzed for time shifts.* + +![image info](./time_series_validation_data.PNG) + +*Figure 2: Snapshot of the structure of the ground truth/validation data that time shift results are compared against.* + +Download an example data set here. ### File Submission Requirements @@ -48,5 +58,20 @@ def detect_time_shifts(time_series, ### Analysis Results +An automated results report containing the following metrics is returned following successful analysis: + +1) Mean average error (MAE) across all of the test cases. MAE is calculated at the time stamp level. The predicted time shift at each time stamp is compared to the ground-truth time shift, and error across all time shifts is calculated. +2) Average run time per instance (in this case, by data stream), calculated in seconds +3) Associated graphics, including error distributions color-coded by issue type (DST, partial DST, random shifts) and frequency of the time series evaluated (1 minute, 5 minute, 15 minute, etc.), and a distribution of instance run times. Some example graphic outputs are shown in Figures 3, 4, and 5. + +![image info](./histogram-mae-issue.png) + +*Figure 3: Error distribution of algorithm results, color-coded by issue type.* + +![image info](./histogram-mae-data-freq.png) + +*Figure 4: Error distribution of algorithm results, color-coded by time frequency of the input time series.* +![image info](./run_time_dist.png) +*Figure 5: Distribution of algorithm run times on individual time series data streams, in seconds.* diff --git a/frontend/public/assets/1/histogram-mae-data-freq.png b/frontend/public/assets/1/histogram-mae-data-freq.png new file mode 100644 index 0000000000000000000000000000000000000000..1b0f4a3ec578b0f323995f219d61fe9d884a3e46 GIT binary patch literal 20516 zcmeFZ2T)V%zcz~7g6IafvO(!80tyKzRR~4YfDq|Dp@U3RsdMY5F&o=25H_|0qeqVbpEQ^ZKLP$b;A^aXovol8ynZB{eK4>Atx+}w#;XUF}HVF3@0q%Lv13jskeSQv621lH3UFuod zEljK&3g}LBbn+B`6Hz}u>6`ep`2yeFiSKl0+WtuYlb^AI+O^@JK=Z>dM*CM^E<%3rBiY%0<3+ODrn1=B 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