Time series prediction of cooling temperature of machine (e.g. LSTM)
Budget: $50 – $0 USD
Perform a time series prediction of the cooling temperature of a machine in Python, based on ambient temperature and the load of the machine. An example code with a LSTM is provided (not required to follow LSTMs if other options are considered better). The dataset is a time series of 5min time step of the machine load, ambient temperature and cooling temperature.
• Time preiod ~1.5 years
• Time step 5 minutes
• Samples 152.064 (consider that some NaNs exist that make some sample not valid [1.111])
• Features 2: Tamb [ºC] + Tcool [ºC]
I will share the dataset by chat, and I will only answer to those that start the chat message with "eyJ", to avoid automatic replies to the project. Example:
====================
eyJ
Hi iblasi,
I would appreciate if you can share with me the LSTM example code and the dataset to check it before proposing a solution and hire me.
====================
Objective: Create a model that reduces the MAE uncertainty of the cooling temperature below 3ºC, training with 2023 and validation in 2024 for a 3 hour forecast time horizon.
• Time preiod ~1.5 years
• Time step 5 minutes
• Samples 152.064 (consider that some NaNs exist that make some sample not valid [1.111])
• Features 2: Tamb [ºC] + Tcool [ºC]
I will share the dataset by chat, and I will only answer to those that start the chat message with "eyJ", to avoid automatic replies to the project. Example:
====================
eyJ
Hi iblasi,
I would appreciate if you can share with me the LSTM example code and the dataset to check it before proposing a solution and hire me.
====================
Objective: Create a model that reduces the MAE uncertainty of the cooling temperature below 3ºC, training with 2023 and validation in 2024 for a 3 hour forecast time horizon.