yuquandu / Data-driven-Ship-Fuel-Efficiency-ModelingLinks
This projects adopts machine learning models to quantify the daily/hourly bunker fuel consumption of a ship in different sailing speed, displacement/draft, trim, weather, and sea conditions. The industry data utilized include voyage report data, sensor data, AIS data, and meteorological data. Apart from Python code, here, we also share 130 train…
☆33Updated 3 years ago
Alternatives and similar repositories for Data-driven-Ship-Fuel-Efficiency-Modeling
Users that are interested in Data-driven-Ship-Fuel-Efficiency-Modeling are comparing it to the libraries listed below
Sorting:
- Modeling ship performance curves to reduce fuel consumption☆23Updated 2 years ago
- This project use genetic algorithm to solve the facility location problem in matlab.☆24Updated 7 years ago
- Modelling marine traffic in the ice-covered Baltic Sea using AIS data☆78Updated 5 years ago
- Spatio Temporal DBSCAN algorithm in Python. Useful to cluster spatio-temporal data with irregular time intervals, a prominent example cou…☆36Updated 5 years ago
- Ship Routing Algorithms for Just-In-Time and Energy Efficient Voyages. By using a genetic algorithm we strive the lowest possible fuel co…☆26Updated 2 years ago
- Probabilistic Deep Learningfor Electric-Vehicle Energy-Use Prediction☆23Updated 4 years ago
- SIMROUTE: Weather Ship Routing (WSR) Code. The software is constructed considering available Copernicus Marine Environment Monitoring Ser…☆68Updated 8 months ago
- A new Nature-inspired optimization algorithm: Aptenodytes Forsteri Optimization algorithm (AFO)☆19Updated 3 years ago
- This repository contains Evolutionary Algorithms that can be used for multi-objective optimization. Interactive optimization is supported…☆12Updated last year
- Solar energy power generation, we need to predict the production of solar photovoltaic(PV). And the dataset contains attributes like temp…☆25Updated 3 years ago
- Implementation of Non-dominated Sorting Genetic Algorithm (NSGA-II), a Multi-Objective Optimization Algorithm in Python☆48Updated 7 years ago
- Electric Vehicle Routing Problem☆33Updated 4 years ago
- ☆44Updated 4 years ago
- Finding the optimal location for public charging stations – a GIS based MILP approach☆17Updated 3 years ago
- We propose Compressive Sensing and Deep Learning framework (CS-DL) for multiple satellite sensor based data fusion. It’s aims to improve …☆24Updated 4 years ago
- A python framework to predict trajectories of vessels with machine learning algorithms, such as lstm, seq2seq, etc.☆51Updated 4 years ago
- Simulations code for MSc thesis.☆15Updated 2 years ago
- Feasibility study on using mixed-integer-linear programming for solving optimal pump scheduling problem in water distribution networks.☆14Updated last year
- EVQUARIUM is an evaluation tool that quantifies the accessibility of EV charging station locations using queueing and graph theory. Given…☆19Updated last month
- Proposed a mathematical model for optimizing the profits and emissions while setting dynamic prices of electricity. A bilevel & multi-obj…☆22Updated 4 years ago
- 交通分配☆25Updated 5 years ago
- This project optimizes EV charging station placement and capacity using MATLAB. It calculates optimal locations based on voltage stabilit…☆15Updated last year
- Heuristic global optimization algorithms in Python☆59Updated 4 years ago
- mahdi-usask / Wind-Speed-Forecasting-for-wind-power-generation-plant.-Neural-Network-ML-based-prediction-algo.-For largescale wind power penetration Wind speed prediction is a basic requirement of wind energy generation. There are many artificial n…☆49Updated 4 years ago
- ☆15Updated 3 years ago
- optimizing locations of electric vehicle charging stations in the city of Toronto☆33Updated 3 years ago
- ☆17Updated 4 years ago
- Grey wolf Optimization☆18Updated 6 years ago
- CVaR-based Flight Energy Risk Assessment for Multirotor UAVs using a Deep Energy Model☆26Updated 2 years ago
- Predicting the energy consumption of EVs using the RNN and LSTM. Competencies: Machine Learning, RNN, SUMO Simulation. Python Libraries: …☆20Updated 4 years ago