waeloren

waeloren's Stars

• gabrieltempass/streamlit-navigation-bar

  A component that allows you to place a navigation bar in your Streamlit app.

  Language:Python11111

• NREL/BuildingsBench

  Large-scale pretraining and benchmarking for short-term load forecasting.

  Language:Jupyter Notebook537

• ElsevierSoftwareX/SOFTX-D-23-00435

  GOMap is designed to take into account both the technical factors, which encompass renewable energy generation; and the policy factors, which can determine sites' suitability. This can aid decision makers and planners to create, edit, visualise and analyse geospatial information to calculate the most suitable areas for renewable deployment.

  2

• Mortafix/MagicLit

  Supercharge Streamlit with MagicLit: Unlock the full potential of the framework for captivating and interactive web applications.

  Language:Python404

• lucafaggianelli/dbstudio

  Language:TypeScript12

• 3liz/QgisCadastrePlugin

  A QGIS plugin which helps users to import the french land registry ('cadastre') data into a database. It is meant to ease the use of the data in QGIS by providing search tools and appropriate layer symbology.

  Language:QML6141

• benrutter/wipeout

  Savable/debuggable exceptions

  Language:Python5

• guillaumezin/DomoticzLinky

  Linky plugin for Domoticz

  Language:Python14326

• alefunxo/Basopra

  BASOPRA - BAttery Schedule OPtimizer for Residential Applications. Daily battery schedule optimizer (i.e. 24 h optimization framework), assuming perfect day-ahead forecast of the electricity demand load and solar PV generation in order to determine the maximum economic potential regardless of the forecast strategy used. Include the use of different applications which residential batteries can perform from a consumer perspective. Applications such as avoidance of PV curtailment, demand load-shifting and demand peak shaving are considered along with the base application, PV self-consumption. Different battery technologies and sizes can be analyzed as well as different tariff structures. Aging is treated as an exogenous parameter, calculated on daily basis and is not subject of optimization. Data with 15-minute temporal resolution are used for simulations. The model objective function have two components, the energy-based and the power-based component, as the tariff structure depends on the applications considered, a boolean parameter activate the power-based factor of the bill when is necessary.

  Language:Python348

• cadema-PoliTO/RECOpt

  The repository contains a routine that optimizes the operation of a PV system with energy storage for fixed or variable (parametric) sizes for both of them, in the context of collective self-consumption and energy communities in Italy. PV production data are to be provided by the user (PVGIS database can be used), while consumption profiles are generated for an aggregate of households using probabilistic methods.

  Language:Python131

• dataprofessor/streamlit-for-datascience

  The Streamlit for Data Science shows how to build interactive data apps powered by data visualization and machine learning!!

  Language:Python4626

• BugzTheBunny/streamlit-navbar-flaskless

  A navbar component for streamlit.

  Language:Python5818

• mehmetba/pdf-analyze-streamlit

  Language:Python105123

• pro1code1hack/Your-Journey-To-Fluent-Python

  Your Journey To Fluent Python

  Language:Python1.1k64

• rpakishore/streamlit-multi-layered-menu

  Example Code - To demonstrate multi-layered-menu for reddit

  Language:Python21

• zauberzeug/nicegui

  Create web-based user interfaces with Python. The nice way.

  Language:Python8.8k535

• equinor/curvy

  The Smooth Forward Price Curve builder you never thought you needed

  Language:Jupyter Notebook186

• FlexPwr/bess-optimizer

  Implementation of the FlexPower Three Market BESS Optimization Model in Python using pyomo

  Language:Jupyter Notebook277

• weiyx15/BiddingStrategy

  Research on Electricity Market Simulation and Bidding Strategy Optimization

  Language:Python6

• tuomasr/bid

  Strategic offering to sequential day-ahead and intraday electricity markets

  Language:GAMS6

• gorkemgungormetu/day_ahead_electricity_market

  GAMS code for day-ahead electricity market simulation

  Language:GAMS4

• BESTenergytrade/simply

  Simulation of Electricity Markets in Python

  Language:Python41

• pierre-haessig/french-elec

  tools for the French electricity market historical data set "éco2mix"

  Language:Python7

• dreamRs/france-power-grid

  French housing connected to the electricity grid

  Language:R51

• RMI/dispatch

  A simple and efficient electricity dispatch model

  Language:Python5

• DarioHett/entsoe-client

  Formulate human-readable queries and retrieve data from ENTSO-E into pandas.DataFrame format.

  Language:Python134

• manukalia/CA_Electricty_Price_Prediction_Neural_Net

  Time series regression models using ARIMA, SARIMAX, and Recursive Neural Network to predict day-ahead and hour-ahead California wholesale electricity prices. Features include demand forecasts, NOAA weather station data, and CA Dept. of Water Resources reservoir water level hourly observation.

  Language:Jupyter Notebook2710

• energy-modelling-toolkit/climate-driven-energy-datasets

  A list of all the freely available datasets of energy variables (electricity demand, wind/solar/hydro-power) reconstructions based on climate reanalysis or climate change projections.

  273

• AyrtonB/Merit-Order-Effect

  Code and analysis used for calculating the merit order effect of renewables on price and carbon intensity of electricity markets

  Language:Jupyter Notebook253

• edxu96/DoubleAuction

  Optimization in double auction mechanism for market clearing, like in liberalised electricity market

  Language:Julia63