Analyzer Module
The Analyzer in HAMLET serves as the primary tool for evaluating, visualizing, and interpreting simulation results. It provides insights into agent behaviors, market dynamics, and grid performance, enabling users to extract meaningful conclusions from their simulations.
Purpose of the Analyzer
Unlike the Creator, which sets up scenarios, and the Executor, which runs simulations, the Analyzer focuses on the post-processing phase. It helps answer questions such as:
How did individual agents behave in the market?
Were there any grid congestions or stability issues?
What were the price fluctuations in the market?
How efficiently was energy traded or utilized?
Key Roles of the Analyzer
Data Processing – Aggregates and cleans simulation results for easier interpretation.
Visualization – Generates plots, graphs, and heatmaps to represent trends and patterns.
Performance Evaluation – Assesses market efficiency, grid performance, and agent profitability.
Exporting Reports – Allows users to export results in structured formats for further use.
How the Analyzer Fits into the Simulation Workflow
Scenario Execution – The Executor runs the simulation and stores results.
Result Extraction – The Analyzer fetches simulation data from stored files.
Data Processing & Visualization – The Analyzer applies filters, statistical methods, and plotting tools to make the results interpretable.
User Interpretation – Users analyze reports, identify patterns, and refine their simulation inputs if necessary.