Energy prediction system
An energy management system includes a controller receiving electrical pricing information from an electrical utility company, measuring electrical power usage of a customer, and providing the electrical power usage to the electrical utility company. The controller is suitable to receive information regarding energy storage of a customer's electrical power storage and receive power information regarding a power generation source of the customer. The controller modifies the power usage of the energy management system based upon the pricing information, the electrical power usage, the energy storage, the power information, wherein the pricing information includes a plurality of temporal pricing levels and a temporal peak pricing level.
1. An energy management system comprising:
(a) a controller receiving electrical pricing information from a remotely located electrical utility company, said controller measuring electrical power usage of a customer, and said controller providing said electrical power usage to said remotely located electrical utility company;
(b) said controller suitable to receive information regarding energy storage of a customer's electrical power storage;
(c) said controller suitable to receive power information regarding a power generation source of said customer that: generates electricity which is separate and apart from power provided to said customer by said electrical utility;
(d) said controller modifying the power usage of said energy management system based upon said pricing information, a prediction of said electrical power usage during each of a plurality of sequential days, said energy storage, said power information, wherein said pricing information includes a plurality of temporal pricing levels and a temporal peak pricing level, where said prediction of said electrical power usage during a one of said plurality of sequential days is refined during said one of said plurality of sequential days, where said modification is based upon a prediction of electrical power generation from said power generation source during each of said plurality of sequential days, and wherein said prediction of electrical power generation includes a prediction of peak power generation during said day.
2. The energy management system of claim 1 wherein said pricing information includes said plurality of temporal pricing levels for different time periods of a day for energy usage and said temporal peak pricing level for at one of said time periods of said day.
3. The energy management system of claim 1 wherein said pricing information includes at least one of monthly pricing, weekly pricing, and day of the week pricing.
4. The energy management system of claim 2 wherein said plurality of pricing levels includes at least three different pricing levels.
5. The energy management system of claim 1 wherein said controller modifies said energy usage in a manner so as to reduce said temporal peak pricing level.
6. The energy management system of claim 1 wherein said modification is based upon a prediction of temporal power storage during said each of a plurality of sequential days.
7. The energy management system of claim 1 wherein said prediction is updated during one of said plurality of sequential days.
8. The energy management system of claim 7 wherein said prediction of electrical power generation and said prediction of electrical power usage are not dependent on one another.
9. The energy management system of claim 1 wherein said prediction of electrical power usage is based upon a model having a plurality of segments.
10. The energy management system of claim 1 wherein said prediction of electrical power usage is a prediction of peak power usage during said day.