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Consumer Modeling - Energy and Carbon

Energy demand forecasting is complex due to the continually changing environment with: price increases and smart metering, climate change, restrictions and regulation, population increase, product efficiency, new products and technologies, renewable energy, and changing consumer attitudes towards energy and carbon reduction. This complexity makes energy forecasting challenging without the right tools.


SimulAIt mass-consumer modeling and forecasting for energy

SimulAIt can assist with energy and carbon forecasting, demand management, marketing, strategic planning, and policy.


SimulAIt can assist in areas such as:

  • Energy demand and revenue forecasting
  • Strategic long term consumption and peak demand
  • Pricing
  • Targeted marketing of policies and programs
  • Impact of smart meters and time-of-use pricing
  • Consumer retention and churn rate
  • Impact of uptake of alternative energy sources and efficient appliances
  • Impact of a carbon tax or Emissions Trading Scheme (ETS)
  • Rebates and concessions
  • Behavior change
  • Capital and corporate planning
  • Increase demand in a regulated market
  • Energy Markets
  • Carbon foot printing of mass-consumers


SimulAIt Features for Energy and Carbon

  • Multi-level energy product framework enables you to define energy related areas and their products, trends for uptake/penetration, and their consumption properties (energy and carbon)
  • Energy usage reasoning framework allows you to configure behavioral rules for product usage, and the impact of external influences on behavior change (e.g. prices, marketing), for different types of consumers
  • Handles the definition of pricing structures and social influences such as marketing and media
  • Assess the impact of energy related rebates (or removal of)
  • Fine-tune or test assumptions in different regions, times, or other demographic aspects

 


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