Серверное приложение
112 USDСерверное приложения для блокчейна
1. Launching the simulation of all machines per day in the MatLab program
At the end of the simulation, we get the forecast of electricity consumption in the form of a sum-
marized graph (Abbildung 3.10), the graph of each machine separately (Abbildung 3.11), as well
as data for the Database for the application (Abbildung 3.12 and 3.13)
2. Estimation of energy cost forecast
An estimate of the approximate cost of energy can be found on the website https://www.smard.de/
(Abbildung 3.14)
A graph of the estimated energy output from the solar panel can also be seen on the website (Ab-
bildung 3.15)
3. Starting the operation of the nodes
Getting the total energy that a node needs to work per day (Abbildung 3.17)
Request for energy from suppliers (miners), considering 2.
4. Based on points 2 and 3, we give out energy.
Client's review of cooperation with Sergey Mironov
Серверное приложениеGreat, fast work
Assistance and correction during installation.
10 / 10
Freelancer's review of cooperation with Vasyl Martyniuk
Серверное приложениеWe work for the second time. Everything is clear. TZ and payment.
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