Predicting Wind Speed based off previous data

In summary, there is a task to create a short term wind prediction using long term wind data, but the absence of altitude data makes one set of the data unusable. The instructions are to use moving average to predict up to 6 hours in the future, but the complexity of the task requires the help of specialists. The predictions do not need to be extremely accurate, but rather provide a general idea of the wind speed. The user is looking for guides or suggestions on how to approach this task and is considering using neural network programs.
  • #1
Obanion
2
0
Hello all,

My boss wants me to create a form of short term wind prediction based off a collection of long term wind data. I haven't taken a course in statistics so this is totally new to me. Basically, the data is organized by Year > Month > Day > Hour > Wind Speed with data stretching back three years. There is also another set of data that spans over a time period of twenty years. Unfortunately, this data isn't of much use to do the absence of a given altitude which renders it useless for our use.

I was given instructions to take the moving average or something of the sort and try to predict at most 6 hours into the future, but I've never had experience with this sort of thing. I'm limited to using Excel as of this moment, but in a few weeks they will shift a thorough analysis to specialists due to the extreme complexion. This further analysis will include humidity, radiation, and all the other requirements for a decent model. Consequently, my predictions do not have to be extremely accurate, but they should be able to provide a general idea of what the wind speed should be.

I'm quite overwhelmed since I've never had this sort of task assigned before. I've worked with Excel before, but it was mostly for very simple data analysis. I'm looking for guides, methods or suggestions on how I would go about doing this analysis. I was hoping that the users at this forum could be of assistance.

Thanks kindly,

Obanion

I can provide more information
 
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  • #2
One plausible, simple way, you could average all the data by hour of the day (average all 12:00 data, all 1:00 data, all 2:00 data, etc. separately) to get a "standard" curve that the wind speed follows over the course of a day. Then for the current wind speed, take the average of the last few hours and compare it to the average of those hours on your standard curve. Then shift the standard curve up or down so that those two averages match, and use the shifted curve as your prediction. You could also group the data by month--i.e. average all 1:00 PM wind speeds in January for the three years all together, but separate them from 1:00 PM wind speeds in June.
 
Last edited:
  • #3
Thanks. I tried out what you suggested but the data is so "fuzzy" that it's almost impossible. I've been checking out some neural network programs and I'm going to try out a few things with them to see how they'll preform.
 

1. How accurate is wind speed prediction based on previous data?

The accuracy of wind speed prediction based on previous data can vary depending on the quality and quantity of the data used. Generally, the more data that is available, the more accurate the prediction will be.

2. What factors are taken into account when predicting wind speed based on previous data?

Factors such as historical wind patterns, geographic location, topography, and weather patterns are all taken into account when predicting wind speed based on previous data. Other factors may also be considered depending on the specific prediction model being used.

3. Can wind speed prediction based on previous data be used for long-term forecasts?

Yes, wind speed prediction based on previous data can be used for long-term forecasts. However, the accuracy may decrease over time due to changes in weather patterns and other factors. It is important to regularly update the data used for prediction to maintain accuracy.

4. Are there any limitations to using previous data for wind speed prediction?

Yes, there are some limitations to using previous data for wind speed prediction. These may include changes in environmental conditions, unexpected weather events, and inaccuracies in the data itself. It is important to continuously monitor and update the data used for prediction to account for these limitations.

5. How can wind speed prediction based on previous data be useful?

Predicting wind speed based on previous data can be useful for a variety of purposes, such as planning for renewable energy sources, predicting potential damage from severe weather events, and optimizing flight routes for aircraft. It can also help with general weather forecasting and planning for outdoor activities.

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