Questions tagged [forecasting]

For questions related to forecasting of any type beyond basic forms of extrapolation, as applicable in fields such as financial planning, portfolio management tooling, automated driving or piloting collision avoidance (when the trajectories are not constant speeds along straight lines), weather science, climate projection as a function of carbon emissions, and such.

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LSTM Recursive Forecast

I am confused about the way the LSTM networks work when forecasting with a horizon that is not finite, but I'm rather searching for a prediction in whatever time in future. In physical terms, I would ...
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10 views

LSTM Forecast Evolution

I have a confusion about the way the LSTM networks work when forecasting with an horizon that is not finite but I'm rather searching for a prediction in whatever time in future. In physical terms I ...
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25 views

How to make a multivariate forecasting if one of features becomes known for the future with some confidence level, e.g. weather forecast data

Let's assume that we make forecasting of another metric partially based on forecasts of the weather forecast, e.g. of temperature, pressure, then we can potentially obtain those forecasts from one of ...
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Is there a difference between using 1d conv layers and 2d conv layers with kernel with size of 1 along other than time dimension?

Let's assume I use convolutional networks for time-series prediction. Data I feed to the network have 1 channel depth, height of number of periods and number of features is the width, so the frame ...
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Recurrent neural Network for survival analyses: Dealing with forecast data as feature which can exceed the number of days untill a event occurs

I am building a Recurrent Neural network (LSTM) for predicting the number of days until a Pollen season starts (when the cumulative of the year exceeds X). One of the features I am including in my ...
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40 views

How to exploit translational symmetry for extrapolation in video generation using machine learning

I'll try to rephrase my problem in the context of video processing. Imagine that initial frame of video has some translational symmetry. The frame evolves according to an update rule. I generate a ...
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28 views

What Model Used for Forecasting Sales with Dynamic Holiday

I'm working on a project where I need to forecast sales data where I have history of 1 year (2017) daily data. I am new on Artificial Intelligence topic and after searching for a while, I think ARIMA ...
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25 views

Time series forecasting for multiple objects with common features

I know the title of this question may raise an eyebrow, but I can't find the technical terms to define or investigate the actual problem. To demonstrate my problem with a simple hypothetical scenario: ...
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21 views

What is the best strategies to perform forecasts via ML models?

Suppose one has time series (univariate or multivariate) and the goal is to predict values of these series several steps ahead. I see two possible strategies: Create a model (recurrent, convolutional,...
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11 views

What is the significance of the RegLoss colum in Neuralprophet

I recently made a forecast with neuralprophet and after training, I got a table with three columns; "SmoothL1Loss", "MAE" and "RegLoss". Please, I need to know the ...
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11 views

What are the typical things in data that I would have to look for, when implementing survival models using machine learning?

Problem Scenario I am working on an industry-specific problem focussed on predicting the failure of a seal/gasket in the given time interval(T) in a high-pressure-compression environment. Whenever ...
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1answer
46 views

Can an existing transformer model be modified to estimate the next most probable number in a sequence of numbers?

Models based on the transformer architectures (GPT, BERT, etc.) work awesome for NLP tasks including taking an input generated from words and producing probability estimates of the next word as the ...
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20 views

Recommended vehicle trajectory prediction algorithms (based only on lat/lon data)?

Could you recommend me the most suitable algorithms for vehicle trajectory prediction? Although I'm studying kalman filter approaches and they are the most used, are there other common (NN, SVM, RF, ...
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32 views

Which is the best algorithm to predict the trajectory of a vehicle using lat/lon data?

I'm using Kalman Filter approaches and I've just implemented the extended Kalman filter (EKF) with my object 2D trajectory. However, I have a mess of alternative approaches that may fit better like ...
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172 views

Wind speed forecasting using ARIMA model in Python3

Recently, I started working on time-series models and would mention that I am very new to python and ML as a whole. I tried to implement a time-series model on wind speed data. Being a newbie, I ...
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Do we need to conduct statistical time series test if we are using Regression Models(Linear Regression) for Forecasting Demand?

While working on open source Time Series Data for Grocery sales where my aim is to perform Demand forecast of Grocery Products, I completed the cleaning of data of Grocery sales data, then in order to ...