forecasting:meeting_minutes_september_13_2016

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forecasting:meeting_minutes_september_13_2016 [2016/09/14 02:53]
jobatake
forecasting:meeting_minutes_september_13_2016 [2021/09/19 21:59] (current)
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     * New python libraries to pull off of     * New python libraries to pull off of
     * Build library of functions other groups can use     * Build library of functions other groups can use
 +    * Solar Industry
 +    * Calibrate Data
   * Decisions:   * Decisions:
-    * Normalization +    * Normalization ​Method (Zenith Angle?) 
-    * Prediction time+    * Prediction time (1 hr?)
     * Solar Irradiance doesn'​t need to be sampled too quickly (1-2 mins ok)     * Solar Irradiance doesn'​t need to be sampled too quickly (1-2 mins ok)
   * Understanding PV:   * Understanding PV:
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       * Depends on normalization (ex. subtract mean of specific time of day/std, or zenith angle)       * Depends on normalization (ex. subtract mean of specific time of day/std, or zenith angle)
       * Take **zenith angle**: Time of day and day of year in account       * Take **zenith angle**: Time of day and day of year in account
-        * Depends on first and second order (mean and covariance matrixes) 
     * Window (FIR filters)     * Window (FIR filters)
       * Straight average of data over time          * Straight average of data over time   
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     * New linear estimate     * New linear estimate
     * Recursive Least Squares (RLS)     * Recursive Least Squares (RLS)
 +      * Depends on first and second order (mean and covariance matrixes)
     * Least Mean Squares (LMS)     * Least Mean Squares (LMS)
       * Won't perform as well       * Won't perform as well
- +  * Supervised and Unsupervised Learning: 
-Thursday, September 152016 +    * Nearest Neighbor (supervised) 
-  * +    * Support Vector Machine Kernels () 
 +    * Deep Learning () 
 +    * Clustering used for large dimensional data (unsupervisedLots of factors) 
 +  * Estimation (regression) and Detection (classification)
  
  
 ===== Reminders ===== ===== Reminders =====
-  * +  * Weekly REIS Thursday Seminar 4:30-5:30
  
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