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4votes
1answer
178views

How to Classify Driving Behaviors (Acceleration, Braking, Turning) Using 2D Coordinates and Velocity?

I'm working on a project to classify driving behaviors based on a vehicle's position and velocity data. For each time step, I have the following information: $x, y $ : Position coordinates in a 2D ...
Aaron's user avatar
4votes
1answer
170views

How do I minimizie cost for EV charging?

I want to find a charging schedule that minimize cost of charging an EV. The main objective is to have a fully charged car for the next morning, but the sub objective is to minimize cost based these ...
NorwegianClassic's user avatar
1vote
0answers
138views

Detecting a Piecewise, Noisy, Linear Signal, with Constant Slope and Changing Y-Intercepts

I am trying to algorithmically detect a 2D linear signal under some noisy data. It is almost a textbook candidate for Robust Linear Regression, except for the fact that, while the slope remains ...
CSStudent7782's user avatar
1vote
1answer
39views

How to score the health of a company? [closed]

i'm currently doing dual apprenticeships. My main mission is to represent the health of a company based on accounting records for multiple companies over multiple years. The part of an accounting ...
Vivien Leonard's user avatar
0votes
3answers
282views

Which machine learning algorithms can be used for trajectory classifications?

I am working on project for clustering of air objects based on their trajectories. Like I would like to train a model on a dataset of different flying object's trajectories so later I can predict what ...
thisisjaymehta's user avatar
2votes
0answers
41views

How do I use the supervised learning classification in my project? [closed]

Just to give an idea of what I'm doing: I'm doing a project with financial data (tick data) and I'm trying to create a way make a model learn what happens before a breakout. Usually there is ...
Artur Dutra's user avatar
1vote
0answers
43views

Detecting seasonality in timestamped events

I have a program that detects events in a large amount of measurement data. When it detects an event, it writes a timestamp. I have thousands of event timestamps. What I wish to do is detect if there ...
Espenol's user avatar
1vote
2answers
113views

Estimate battery voltage based on scheduled events and previous behaviour

My goal is to estimate if a battery will have enough charge for certain other systems to be powered. The power state of the other systems is recorded (i.e. if they are turned on or not), as well as ...
Matty's user avatar
1vote
1answer
62views

How can I implement my own AR(p) simulation algorithm?

Recall that an AR(p) process can be defined as $$ X_t = \phi_1 X_{t-1} + \cdots + \phi_p X_{t-p} + Z_t $$ where $Z_t$ is I.I.D. white noise. I want to write an algorithm simulating these processes, ...
user184074's user avatar
0votes
1answer
404views

Detect constant (zero-slope) sections in a noisy step function

I have data that has the shape of a step function, which is obstructed by noise. I would like to identify the sections with constant slope in it. The noise does not necessarily have 0 mean, and the ...
Konstantin's user avatar
6votes
2answers
3kviews

Recurring events - finding in a time series

I have an event dataset from which I would like to detect recurring events (i.e: weekly, bi-weekly, monthly). The dataset contains: Timestamp (date) Event type which can get any value (e.g: ...
DeQ's user avatar
  • 61
6votes
2answers
601views

Looking for algebras designed to transform time series

I am looking for information on (formal) algebraic systems that can be used to transform time-series - in either a practical or academic context. I hope that there exists (at least one) small, ...
aSteve's user avatar

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