Topic: smart-grid Goto Github
Some thing interesting about smart-grid
Some thing interesting about smart-grid
smart-grid,Готовая сборка webpack c сеткой smart-grid
User: abyss-soft
smart-grid,smart substation connection and configuration software based on IEC 61850 protocal and SCD file. Email: [email protected]
User: acerwang
smart-grid,In this project, we have developed an IoT device to analyze the transformer oil without shutting down the grid. By creating this device, the oil sampling and analysis process is done automatically and no longer need to cut off the grid.
Organization: acrrl
Home Page: https://sites.google.com/view/acrrl/research/projects?authuser=0
smart-grid,Dynamic Energy estimation
User: adderbyte
smart-grid,Smart Meter Data Analytics Tutorial @ 11th International Conference on Learning Representations (ICLR 2023)
Organization: bitstoenergy
smart-grid,GridAttackSim: Smart Grid Attack Simulation Framework
Organization: crond-jaist
smart-grid,Smart Nanogrid Gym is an OpenAI Gym environment for simulation of a smart nanogrid incorporating renewable energy systems, battery energy storage systems, electric vehicle charging station, grid connection, a connected building and using vehicle-to-everything methodology.
User: dellintel98
smart-grid,HTML layout for Richbee. The parallax effect has been implemented. System of modal windows with warnings. The development used GULP, BEM, BABEL, WEBPACK, SCSS, SMARTGRID
User: denisraymer
Home Page: https://denisraymer.github.io/richbee-relation
smart-grid,News site layout using GULP, BEM, BABEL, WEBPACK, SCSS, SMART-GRID
User: denisraymer
Home Page: https://denisraymer.github.io/top-news-israel/
smart-grid,Home automation and tracking
User: dhruv2601
smart-grid,Smart Meter data logger, using the P1 port standard.
User: dries007
smart-grid,pycity_scheduling - A Python framework for the development and assessment of optimization-based power scheduling algorithms for multi-energy systems in city districts. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711021001230
Organization: elseviersoftwarex
smart-grid,This project contains an extensible GAN Framework which can be used to generate power grid related data for simulations.
User: floriande
smart-grid,A diploma thesis investigating the options of controlling power demand of households to reduce peaks in total power consumption in smart grids.
User: fnesveda
smart-grid,Smart grid for responsive design.
User: fredsrocha
Home Page: https://fredsrocha.github.io/fsr-smart-grid/
smart-grid,simple electric monitoring with Wemos D1, MQTT, plotly dash and SQLAlchemy.
User: hector6298
smart-grid,🔥 Blank template for professional layout!
User: hello-kozloff
smart-grid,MATLAB code and data for the article 📋: I. Daminov, A. Prokhorov, R. Caire, M-C Alvarez-Herault, “Assessment of dynamic transformer rating, considering current and temperature limitations” in International Journal of Electrical Power & Energy Systems (IF: 3,588, Q1), 2021
User: ildar-daminov
Home Page: https://www.sciencedirect.com/science/article/pii/S0142061521001265
smart-grid,MATLAB code and data for the paper I. Daminov, A. Prokhorov,T. Moiseeva, M-C. Alvarez-Hérault, R. Caire,"Application of dynamic transformer ratings to increase the reserve of primary substations for new load interconnection" in CIRED conference, Madrid, Spain, 2019.
User: ildar-daminov
Home Page: https://www.cired-repository.org/handle/20.500.12455/708
smart-grid,Implementation of bagging-based ensemble for solar irradiance prediction. Base learners used in ensemble learning is stacked-LSTM
User: jddeguia
smart-grid,Energy production of photovoltaic (PV) system is heavily influenced by solar irradiance. Accurate prediction of solar irradiance leads to optimal dispatching of available energy resources and anticipating end-user demand. However, it is difficult to do due to fluctuating nature of weather patterns. In the study, neural network models were defined to predict solar irradiance values based on weather patterns. Models included in the study are artificial neural network, convolutional neural network, bidirectional long-short term memory (LSTM) and stacked LSTM. Preprocessing methods such as data normalization and principal component analysis were applied before model training. Regression metrics such as mean squared error (MSE), maximum residual error (max error), mean absolute error (MAE), explained variance score (EVS), and regression score function (R2 score), were used to evaluate the performance of model prediction. Plots such as prediction curves, learning curves, and histogram of error distribution were also considered as well for further analysis of model performance. All models showed that it is capable of learning unforeseen values, however, stacked LSTM has the best results with the max error, R2, MAE, MSE, and EVS values of 651.536, 0.953, 41.738, 5124.686, and 0.946, respectively.
User: jddeguia
Home Page: https://github.com/jddeguia/compare-forecast-models
smart-grid,Implementation of solar irradiance prediction model with grid-search optimization
User: jddeguia
smart-grid,A simulator for blockchain-based local energy markets
User: kchristidis
smart-grid,Comwatt Integration for HomeAssistant
User: mateogreil
smart-grid,A Python client library for interacting with the Comwatt API.
User: mateogreil
Home Page: https://pypi.org/project/comwatt-client/
smart-grid,MESMO - Multi-Energy System Modeling and Optimization
Organization: mesmo-dev
Home Page: https://mesmo-dev.github.io/mesmo
smart-grid,A blockchain Dapp for energy management in microgrids
User: mihaela06
smart-grid,Smart Grid Testing Management Platform, created at Masaryk University
User: mschvarc
smart-grid,Easy SimAuto (ESA): An easy-to-use Power System Analysis Automation Environment atop PowerWorld Simulator Automation Server (SimAuto)
User: mzy2240
Home Page: https://mzy2240.github.io/ESA/
smart-grid,Simulations code for MSc thesis.
User: nicomignoni
smart-grid,Scripts for a university project, a simple centralized smart grid energy cost minimization problem.
User: nicomignoni
smart-grid,Simulation environment and concise implementation of proposed smart control algorithm for renewable energy assets.
User: philippedeb
Home Page: https://philippedebekker.com
smart-grid,Two stage heuristic method to reconfigure the distribution networks
User: pratik-harsh
smart-grid,A Python library for IEC62056-21, Local Data Readout of Energy Meters. Former IEC1107
Organization: pwitab
smart-grid,A Python library for the Itron / Actaris IFLAG and Corus protocol
Organization: pwitab
smart-grid,DAEG is about Decentralized and Autonomous Energy Grid project to provide a framework to manage clusters of DC microgrid.
User: rithviknishad
smart-grid,An implementation of a peer to peer smart grid trading system. Utilising homomorphic encryption to allow for a semi trusted third party to carry out operations on the trading data without knowledge of private data. See more at: https://ieeexplore.ieee.org/document/9817551
User: rthandi
smart-grid,The ENTSO-E Data Analysis Tool is an interactive web application designed to streamline the analysis of the European Network of Transmission System Operators for Electricity (ENTSO-E) power system data. This tool is crafted to facilitate a seamless operation in handling, visualising, and analysing electricity market and grid data across Europe.
User: sam-92
smart-grid,SCSS. Corporate-website. GULP4. Adaptive. Smart-Grid. Flexbox
User: sergkozyrev
Home Page: https://sergkozyrev.github.io/Akad/build/
smart-grid,This is a handy tool to assist researchers to export electrical quantities in a power grid (e.g. IEEE 118) such as power flows, power injections and others to featured ML-ready datasets.
User: skababji
smart-grid,EVLib is a library for the management and the simulation of Electric Vehicle (EV) activities, at a charging station level, within a Smart Grid environment.
User: skarapost
smart-grid,Smart Grid solution which compiles home networks and grids in an effecient manner, controlled by recurrent networks which predict distribution and consumption and also supported by an energy credit system. All running as microservices supporting each other.
Organization: smoke-trees
smart-grid,Distribution System Simulator based on OpenDSS and OpenDSSDirect.py. Modern Syntax, DataFrames, Pint, Networkx, Algorithmic Agents.
Organization: supsi-dacd-isaac
smart-grid,A Deadline-Aware, Incentive-Compatible and Proportionally-Fair Mechanism for EV Charging in Distribution Grids
Organization: sustainable-computing
smart-grid,Contains the code for the paper "Multi-Horizon Short-Term Load Forecasting Using Hybrid of LSTM and Modified Split Convolution"
User: syedhasnat
Home Page: https://peerj.com/articles/cs-1487/
smart-grid,A Python library for DLMS/COSEM
Organization: u9n
smart-grid,Start HTML Template
User: webmaxx
smart-grid,This repo contains all the codes and data for 'Blending Data and Physics Against False Data Injection Attack: An Event-Triggered Moving Target Defence Approach'
User: xuwkk
smart-grid,A repository of awesome Non-Intrusive Load Monitoring(NILM) with code.
User: zhgqcn
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