SoftGuide > Functions / Modules Designation > Energy price analysis

Energy price analysis

What is meant by Energy price analysis?

The term "energy price analysis" refers to the examination and evaluation of energy costs and tariffs to identify trends, optimize costs, and make informed decisions regarding energy purchases and usage. This analysis helps companies choose the best energy supply options, create budget forecasts, and improve efficiency.

Typical software functions in the area of "energy price analysis":

  1. Data Collection: Automated collection and aggregation of energy data from various sources such as meters, bills, and market data.
  2. Price Forecasting: Predicting future energy prices based on historical data and market analyses.
  3. Cost Analysis: Detailed analysis of current energy costs, including breakdowns by usage times, consumption patterns, and tariffs.
  4. Comparison Tool: Comparing various energy providers and tariff options to identify the most cost-effective solution.
  5. Scenario Analysis: Simulating different market scenarios and their potential impacts on energy costs.
  6. Reporting and Visualization: Creating reports and charts to display energy price trends and cost structures.
  7. Contract Management: Managing and optimizing energy contracts, including contract durations, conditions, and supplier evaluations.
  8. Alert and Notification System: Automated alerts for significant price changes or deviations from budget targets.

Examples of "energy price analysis":

  1. Market Price Analysis: Analysis of current market prices for electricity and gas.
  2. Consumption Analysis: Examination of a company's energy consumption patterns.
  3. Supplier Evaluation: Evaluation and comparison of energy suppliers based on price, service quality, and contract terms.
  4. Budget Monitoring: Monitoring and controlling the energy expenditure budget.
  5. Price Volatility Analysis: Analysis of fluctuations in energy prices and their causes.
  6. Efficiency Analysis: Examination of energy efficiency measures and their impact on energy costs.

 

The function / module Energy price analysis belongs to:

Statistics/Forecast

Before-and-after comparisons
Classification and prediction
classification and regression trees
Container accounting
Course participant and learning statistics
Customer and sales data analysis
Customer evaluations
Econometric and statistical analyses
Linked data management
Mandate analysis
Metropolis algorithm
Network Statistics
predictions and model simulation
statistical cost planning
Utilization analysis according to loss classes