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I am trying to use this project on my own task. I have gone through the process to tune a model and find an optimal configuration.
However, during the process of trying to forecast on future data, …
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### Description
I have two questions regarding how to handle covariates in Nixtla's MLForecast when performing global forecasting. Although there is rather extensive documentation on this, I am still…
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While implementing MultiPeriod approach in oemof.tabular I had Problems with implementing decomissioning of power plants. We want to implement a decomissioning curve fo existing capacity (fixed) paral…
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A user requested to include the ESRNN model (available in previous versions of NeuralForecast). The user tried to use [this](https://github.com/kdgutier/esrnn_torch) version but it does not allow more…
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(semi-random thought seeing comments of users that want annual seasonality with daily data)
years and months don't have all the same number of periods. Assuming fixed periodicity (frequency, number…
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In sorting, we used to compute non-price utilities. Now that endogenous variables are supported, we are recomputing the full utility on each iteration. However, most of the variables are exogenous - s…
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a) For validation it might make sense to use exogenous time series for cross-border flows from entso-e.
b) Alternatively these published cross-border flows could be compared with our modelled ones fo…
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Hi all,
I have a question regarding AutoARIMA.forward().
I'm using a Pandas series converted to a numpy array for the y value, which works totally fine.
However, I do not get the X_future to wo…
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Right now inflow can be scaled using annual_flow and a inflow_method. Scaling should also be enabled for profiles - e.g. VRE capacity factor time series should be possible to scale to a target CF (whi…
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Hi, dear authors.
The work is very interesting and insightful.
However, I found Algorithm 1/2 to be hard understood, especially at:
Line 7 of Algorithm 1, what LocateParents return? these two ret…