kandi X-RAY | gnet Summary
kandi X-RAY | gnet Summary
gnet is an event-driven networking framework that is fast and lightweight. It makes direct epoll and kqueue syscalls rather than using the standard Go net package and works in a similar manner as netty and libuv, which makes gnet achieve a much higher performance than Go net. gnet is not designed to displace the standard Go net package, but to create a networking client/server framework for Go that performs on par with Redis and Haproxy for networking packets handling. gnet sells itself as a high-performance, lightweight, non-blocking, event-driven networking framework written in pure Go which works on transport layer with TCP/UDP protocols and Unix Domain Socket , so it allows developers to implement their own protocols(HTTP, RPC, WebSocket, Redis, etc.) of application layer upon gnet for building diversified network applications, for instance, you get an HTTP Server or Web Framework if you implement HTTP protocol upon gnet while you have a Redis Server done with the implementation of Redis protocol upon gnet and so on.
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I am trying to write an pyomo script to optimally dispatch a gas plant based on perfect foresight of electricity prices. I believe I am 90% of the way there, just a few issues.
My script works, but the solver is never dispatching the plant, even where it should be, in the example provided below, manually I can calculate at least $8131 of potential profit.
I suspect the reason for my zero results is due to how I've written the constraints, of which there are 2;
- Gas Plant takes 10 minutes to boot up from a cold start
- Once warmed up, the gas plant has a min load it must operate at/above.
- Gas Plant can only consume 9000 GJ of gas in a single day
Specifically on further testing, I think it is the 'gas_volume_used' constraint which is causing the issue.
Could someone please have a look at my code and see what I am missing in the constraint equations?
ANSWERAnswered 2022-Mar-15 at 23:20
Well, I went a little geek on this. Got hooked, kinda interesting problem.
So, I made a bunch of changes and left some of your code in this example. I also chopped down a handful of the cost variables and made them rather simple as I was getting a little lost in the sauce and so that I was (mostly) convinced things were working, so the units/conversions/costs are a bit nonsensical now, but should be easily recovered.
Hopefully there are a couple concepts in here that you can use as you work through this. A few notes...
- Needed a binary variable to indicate that the plant was started, and another to keep track of whether it was "running" or not in a particular period, these were linked with a constraint
- Added a little trickery with the time windows to make a rolling evaluation period for total gas use
- Added a minimum use for the plant to run or else once it was "started" it could arbitrarily run with 0 gas when not profitable, now a minimum-run or off decision is forced
Plot shows pretty convincing evidence that it is running as hoped, it starts up, runs at max blast when price is high, and adheres to rolling gas limit, then shuts down and does it again.
My goal is to send an alarm if the [hits] field is empty.
This is my result:...
ANSWERAnswered 2022-Feb-17 at 16:22
I'm still not 100%, but from your comments it seems like you want to check if hits has anything in it, and if so do something for each one:
I have the following 2d array that I get/create from an external .txt file....
ANSWERAnswered 2020-Nov-12 at 14:39
So I finally figured this out by doing a "bubble sort". Here's how I implemented it. Hopefully this can help someone else who's having trouble finding any examples of sorting with 2d arrays by a specific column:
I've written this code for image classification by pretrained googlenet:...
ANSWERAnswered 2020-Jan-14 at 20:52
Since you're not doing backprop wrap your whole loop with a
with torch.no_grad(): statement since otherwise a computation graph is created and intermittent results may be stored on the GPU for later application of backprop. This takes a fair amount of space. Also you probably want to save
out.cpu() so your results aren't left on the GPU.
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