Visualizing Output Data

POMATWO supports different visualizations to analyze the model results.

Interactive Plots

plot_market_interactive(results; time_horizon=nothing, scalefactor=1/1000, kind=:DA)

Creates an interactive plot for visualizing market results by zone, including generation dispatch, load, and price curves.

Arguments

• results: A data structure containing DA market simulation results (typically a DataFiles struct).
• time_horizon: (optional, keyword) A range of time steps (hours) to plot. If not provided, uses the entire time range in results.GEN.
• scalefactor: (optional, keyword, default: 1/1000) A scaling factor for power values (e.g., from MW to GW).
• kind: (optional, keyword, default: :DA) Specify what market stage should be visualized. Currently supported are :DA for Day-Ahead and :REDISP for Redispatch.

Interactivity

• Dropdown menu to select market zone.
• Plot updates automatically to show:
  • Generation dispatch (per technology)
  • Load curve
  • Day-ahead price curve
• Dual y-axes for power (GW) and price (EUR/MWh).

Returns

• fig: An interactive plot figure (Makie.Figure) for display or saving.

Example

fig = plot_market_interactive(results)

plot_DA_w_Redisp_interactive(results; time_horizon = nothing, scalefactor = 1/1000)

Creates an interactive, comparative visualization of Day-Ahead (DA) and Redispatch market results by zone, showing generation, load, and prices before and after redispatch. This function enables side-by-side analysis of how redispatch alters zonal dispatch and market prices.

Arguments

• results: Data structure containing Day-Ahead and redispatch simulation results (typically a DataFiles struct).
• time_horizon: (optional, keyword) Range of time steps (hours) to plot. Defaults to the full time range in results.GEN.
• scalefactor: (optional, keyword, default: 1/1000) Factor to scale power values (e.g., MW to GW).

Interactivity

• Dropdown menu to select the market zone.
• The plot consists of two subplots:
  • Top subplot: Generation, load, and prices after redispatch (reflecting resolved network constraints).
  • Bottom subplot: Generation, load, and prices in the Day-Ahead market (as originally scheduled).
• Dual y-axes for both power (GW) and price (EUR/MWh).
• Plots update interactively when the selected zone changes.

Returns

• fig: The interactive plot (Makie.Figure) ready for display or saving.

Example

using GLMakie, Tyler, ColorSchemes
fig = plot_DA_w_Redisp_interactive(results)

plot_total_gen_interactive(results::DataFiles)

Create an interactive bar plot of total generation by category for a selected kind and zone.

This function displays an interactive Makie figure with two dropdown menus: one for selecting the generation kind (e.g., day-ahead, redispatch, etc.) and one for selecting the zone. The bar plot updates automatically to reflect the selected kind and zone, showing total generation per category in GWh with category-specific colors.

Arguments

• results: The results data structure containing generation data, available kinds, zones, and category colors.

Returns

• Figure: A Makie Figure object with the interactive bar plot and dropdown menus.

Example

using GLMakie, Tyler, ColorSchemes
fig = plot_total_gen_interactive(results)

Static Plots