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The model's input datasets encompass parameters such as electricity demand, the inflow of the reservoir, characteristics of the reservoir, and more! These datasets form the foundation of the energy expansion model.
✨ Tip: Check out the dataset we provided for the example problem to learn more!
📌 If I only have data at daily time steps, can linear interpolation be used?
While linear interpolation might be apt for some variables, it might oversimplify others like daily demand or renewable energy source capacity factors. Energy demand typically follows complex, non-linear patterns in which linear interpolation oversimplifies. Thus, it might be more effective to use a daily demand curve for transforming daily data into hourly metrics. Similarly, the capacity factors for renewable energy can vary significantly throughout the day due to variables like weather. Linear interpolation might not capture these variations accurately.
📌 Can I use the model with data from only 1 Balancing Authority?
Absolutely! When provided data from a singular Balancing Authority, the model is designed to fine-tune the generation mix exclusive to that jurisdiction.
📌 Will the model still work if I add other variables, like temperature?
No, variables such as temperature are not required.
📌 What if I lack some required data parameters, like nuclear energy?
You can substitute with 0 values for parameters not currently in use but might be adopted in the future.
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🌟 Frequently Asked Questions (FAQ) 🌟
📌 What are the input datasets used?
The model's input datasets encompass parameters such as electricity demand, the inflow of the reservoir, characteristics of the reservoir, and more! These datasets form the foundation of the energy expansion model.
📌 If I only have data at daily time steps, can linear interpolation be used?
While linear interpolation might be apt for some variables, it might oversimplify others like daily demand or renewable energy source capacity factors. Energy demand typically follows complex, non-linear patterns in which linear interpolation oversimplifies. Thus, it might be more effective to use a daily demand curve for transforming daily data into hourly metrics. Similarly, the capacity factors for renewable energy can vary significantly throughout the day due to variables like weather. Linear interpolation might not capture these variations accurately.
📌 Can I use the model with data from only 1 Balancing Authority?
Absolutely! When provided data from a singular Balancing Authority, the model is designed to fine-tune the generation mix exclusive to that jurisdiction.
📌 Will the model still work if I add other variables, like temperature?
No, variables such as temperature are not required.
📌 What if I lack some required data parameters, like nuclear energy?
You can substitute with 0 values for parameters not currently in use but might be adopted in the future.
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