In this project, you will analyse the UK average daily traffic count [login to view URL] using software either developed by you or using existing libraries/tools you will address a series of questions. Some questions will require you to locate and use additional datasets. The questions include extracting vehicle mileage, estimating car growth in future, and estimating electricity requirement to meet electric vehicle demand at some future point. Finally, you need to decide where to locate any extra generation capability needed to meet this demand for lowest cost.
Task 1: Basic analysis
Traffic counts provides street-level traffic data for every junction-to-junction link on the 'A' road and motorway network. You must perform a basic clean up and summary analysis of the data. Your objective is to summarise the data in a way that simplifies the subsequent tasks. A region by region estimate of the annual millage of different classes of vehicles is a good starting point.
Task 2: Regression
You should use the summary data to perform a regression analysis to estimate likely changes in traffic over the next 10-20 years. You should identify any potential risks associated with this analysis that may place limits on how it can be used
Task 3: Research
As your objective is to assess the impact of the expected increase in the number and use of electric vehicles, you will need to research published estimates of how much of the UK vehicle fleet will be electric over the same 10-20-year span. This is unlikely to be a simple regression using historic data, there will be several other factors involved. It is these factors and their impact that you need to identify. Estimate the number of electric miles driven each year over the time period and estimate how much power generation will be needed to achieve this. You will need to identify how much additional generation capacity this will require.
Task 4: Optimisation
Different generation technologies have different £/MWh figures. The Department for business, energy and strategy maintains a regularly updated overview of generation technologies. Using this and other sources, you should suggest what type and where new generation capacity should be placed to achieve the lowest overall cost. This is an optimisation problem and you should select and implement a suitable algorithm to model this. For example, you might need to consider the impact that the time of day at which charging occurs will have on the mix of generation technologies.
1. Code in Python (Jupyter Notebook)
2. 3000 words report
Report should a critical and informative review of the methods you applied and the output you obtained. (around 3000 words)
You must include:
1. A description of the overall approach to answering the tasks in each section.
2. Basic analysis of the starting data. (task1)
3. Results and analysis of regression. (task 2)
4. Research carried out to locate additional data needed and the use of that data (task 3)
5. Results and analysis of the optimisation task (task 4)
22 фрилансеров(-а) в среднем готовы выполнить эту работу за £210
Hi I am software engineer and have delivered many programming and technical projects. You can share more details with me so that we can negotiate the price accordingly. Thank you
Dear client. I have read your requirement and understood. I can do your project using pandas or numpy libraries in python. Or I can use matplotlib library for data visualization.
I have good command over Python , R machine learning & deep learning algorithm .Also 1 year experience in same. I am also using TABLEAU tool for Data visualization.
Hello sir/madam, I got your point and understand all your requirements. Please check my profile summary. If you want, I will send you some past work of mine. Waiting for your response. Thank you.