urbs | A linear optimisation model for distributed energy systems | Time Series Database library
kandi X-RAY | urbs Summary
kandi X-RAY | urbs Summary
urbs is a linear programming optimisation model for capacity expansion planning and unit commitment for distributed energy systems. Its name, latin for city, stems from its origin as a model for optimisation for urban energy systems. Since then, it has been adapted to multiple scales from neighbourhoods to continents.
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
- Compares the result of each scenario
- Plot time series
- Return input data for given name
- Group horizontal bar charts by group_size
- Calculates the total cost rule for a given cost type
- Calculate the balance of a commodity
- Calculate transmission balance
- Calculates the storage balance
- Run a scenario
- Create a pyomo model
- Read input files
- Split a list of column names
- Calculate a residue rule
- Calculates the power savings coefficient of a portfolio
- Resolve CO2 budget rule
- Resolve CO2 limit rule
- Calculate CO2 rule
- Return the most recent entry in the search directory
- Return a list of all result files in folder
- Return a pyomo relaxation rule for sell orders
- Calculate the total rule
- Calculate the maximum DSM maximum rule
- Calculate recovery rule for dsm recovery
- Determine whether the DSM rule is the same
- Calculate dsm downward rule
- Combine all other scenarios
urbs Key Features
urbs Examples and Code Snippets
Community Discussions
Trending Discussions on urbs
QUESTION
from PyQt5 import QtGui, QtWidgets
from PyQt5.QtWidgets import QApplication, QWidget, QHBoxLayout, QSlider, QLabel, QListWidget
import sys
from PyQt5.QtCore import Qt
ANSWER
Answered 2020-Jul-11 at 19:16You can set the range values of sliders using the result of the valueChanged signal (that there's no need to call value()), as it is the argument of the signal.
Note that QLabel has a convenience function to set numeric values: setNum().
QUESTION
I've been querying a few API's with Python to individually create CSV's for a table.
I would like to try and instead of recreating the table each time, update the existing table with any new API data.
At the moment the way the Query is working, I have a table that looks like this,
From this I am taking the suburbs of each state and copying them into a csv for each different state.
Then using this script I am cleaning them into a list (the api needs the %20 for any spaces),
...ANSWER
Answered 2020-Jun-03 at 18:37I don't see any reason why you would be creating CSV files in this process. It sounds like you can just query the data and then load it into a MySql table directly. You say that you are adding the states manually in excel? Is that data not available through your prior api calls? If not, could you find that information and save it to a CSV, so you can automate that step by loading it into a table and having python look up the values for you?
Generally, you wouldn't want to overwrite the mysql table every time. When you have a table, you can identify the column or columns that uniquely identify a specific record, then create a UNIQUE INDEX for them. For example if your street and price values designate a unique entry, then in mysql you could run:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install urbs
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page
