System for optimizing energy purchase decisions
A method of determining an optimal energy portfolio for a customer includes: quantifying the customer's risk/reward profile; obtaining customer data, including historical and forward customer data, said customer data including at least customer budgetary constraints; obtaining market data, including historical and forward market data; and determining, as the optimal energy portfolio for the customer, an energy portfolio based at least in part on (i) the customer's risk/reward profile, (ii) the customer's budget constraints, (iii) the customer data; and (iv) the market data.
1 . A method of determining an optimal energy portfolio for a customer, the method comprising:
quantifying the customer's risk/reward profile;
obtaining customer data, including historical and forward customer data, said customer data including at least customer budgetary constraints;
obtaining market data, including historical and forward market data;
determining, as the optimal energy portfolio for the customer, an energy portfolio based at least in part on (i) the customer's risk/reward profile, (ii) the customer's budget constraints, (iii) the customer data; and (iv) the market data.
2 . A method of determining an optimal energy portfolio for a customer, the method comprising:
quantifying the customer's risk/reward profile;
determining, as the optimal energy portfolio for the customer, an energy portfolio based at least in part on the customer's risk/reward profile and on the customer's budget constraints.
3 . A method as in claim 2 wherein the optimal energy portfolio is determined based also on market data.
4 . A method as in claim 3 wherein the market data include historical market data.
5 . A method as in claim 4 wherein the historical market data include one or more of: regional specific energy data, power market prices, weather data; economic indicators; and market volatility.
6 . A method as in claim 3 wherein the market data include forward market data.
7 . A method as in claim 6 wherein the forward market data include one or more of: regional specific energy data; power market prices; hourly/term premium data; weather data; economic indicators; and implied volatility.
8 . A method as in claim 2 wherein the optimal energy portfolio is determined based also on customer data.
9 . A method as in claim 8 wherein the customer data include at least one of historical data and forward data.
10 . A method as in claim 9 wherein the customer data include historical data and wherein the historical data include one or more of: customer load data; customer-specific business rules; and cost.
11 . A method as in claim 9 wherein the customer data include forward data and wherein the forward data include one or more of: adjusted load data; weather projections; conservation/demand-side initiatives; facilities plans; load shift data; budgetary goals/cost targets; product type restrictions; enterprise load-to-cost correlations.
12 . A method as in claim 9 wherein the historical data goes back three years and the forward data goes forward three years.
13 . A method as in claim 2 further comprising:
providing the customer with the optimal portfolio;
tracking performance of the optimal portfolio; and
modifying the optimal portfolio in response to changing market and/or customer conditions.
14 . A method as in claim 2 further comprising:
implementing the customer's optimal portfolio by executing at least one trade associated with the portfolio.