neelabhsinha / Leakage-Detection-in-Smart-Water-Distribution-SystemsLinks
This repository contains the coding aspect of the project Leakage Detection in Smart Water Distribution Systems, where the collected data is used for training an ANN model to detect leakage.
☆11Updated last year
Alternatives and similar repositories for Leakage-Detection-in-Smart-Water-Distribution-Systems
Users that are interested in Leakage-Detection-in-Smart-Water-Distribution-Systems are comparing it to the libraries listed below
Sorting:
- IoT Enabled Smart Water Grid - Water Quality Monitoring, Leakage, Burst Detection - Python and Neural Network Applications. EPANET simula…☆16Updated 5 years ago
- Gold-Price-forecasting In a personal endevaour to learn about time series analysis and forecasting, I decided to reserach and explore var…☆12Updated last year
- ☆39Updated 2 years ago
- Development of a machine learning application for IoT platform to predict electric energy consumption in smart building environment in re…☆49Updated 5 years ago
- A digital twin (python) for water quality monitoring (wqm)☆15Updated 2 years ago
- Machine learning models applied to water demand forecasting in the City of London.☆58Updated last year
- Data models for describing a water distribution infrastructure, also compatible with EPANET simulation tool☆21Updated last year
- Applying LSTM on river water level data☆32Updated 9 years ago
- Prediction of Energy Consumption using Machine Learning for Energy Sustainability☆20Updated 6 years ago
- This repo demonstrates how to build a surrogate (proxy) model by multivariate regressing building energy consumption data (univariate and…☆31Updated 2 years ago
- Weather Forecasting report over the Jaipur Dataset for Rain Prediction☆29Updated 6 years ago
- This projects adopts machine learning models to quantify the daily/hourly bunker fuel consumption of a ship in different sailing speed, d…☆33Updated 3 years ago
- Optimize E-Commerce Last-Mile Delivery with Python☆32Updated last month
- Whale Optimization Algorithm to Minimize Functions with Continuous Variables☆22Updated 2 years ago
- Use Deep Q-Learning model to optimize energy consumption of a data center☆43Updated 5 years ago
- Examine the all the leakages happened from 2010-2017 and apply machine learning to detect equipment failure☆15Updated 5 years ago
- An efficient disease detection application with GUI based (tkinter) frontend and a custom CNN model as backend which detects if a cell is…☆25Updated 5 years ago
- Prediction of Crop Yield for farmers based on weather, satellite data☆62Updated 7 years ago
- Build Supply Chain Sustainability Reporting with Python☆55Updated last month
- Supply Chain Optimization with Python☆102Updated last month
- GWO☆11Updated 6 years ago
- Illustrating a typical Predictive Maintenance use case in an Industrial IoT Scenario. By using Statistical Modelling and Data Visualizati…☆25Updated 3 years ago
- Forecasts next 24 hours of hourly energy demand with Keras, Prophet, and SARIMA (statsmodels)☆100Updated 2 years ago
- Parkinson’s disease can be detected using speech. The phonation is the most affected in speech i.e. the sound when we pronounce the vowel…☆20Updated 5 years ago
- Application of Deep Reinforcement Learning to Supply Chain management. Reference: https://blog.griddynamics.com/deep-reinforcement-learni…☆11Updated 4 years ago
- In this post, I have implement a water quality prediction using machine learning techniques. In this technique, our model predicts that t…☆26Updated 4 years ago
- ☆11Updated last year
- Improve Warehouse Productivity using Order Batching☆127Updated 10 months ago
- In this project work, the main motive is to build a deep learning model to detect air pollution from real-time images. In order to achiev…☆11Updated 4 years ago
- A low capacity and high capacity plant across 5 countries are considered and a linear programming model is built to determine the total l…☆19Updated 4 years ago