Abstract: |
According to some embodiments, a thermostat obtains real-time energy prices from a electricity grid. It may also obtain additional data from external data sources, such as predicted energy prices or weather predictions. The thermostat attempts to find a control strategy for when to switch available aggregates that may include furnaces and air conditioners on and off. In order to solve this integer programming problem, the thermostat uses a random search algorithm. According to some embodiments, various data sources, such as day-ahead prices and real-time prices, are combined into forecasts of electricity prices for the present and future time periods. In some embodiments, a thermostat selects predictively between heating or cooling by letting outside air in or by using heating and cooling aggregates. Additional embodiments are discussed and shown. |
Inventor: |
Haynold, Oliver Markus (Evanston, IL, US) |
Applicant: |
Haynold, Oliver Markus (Evanston, IL, US) |
Face Assignee: |
Promanthan Brains LLC, Series Cold Futures only (Evanston, IL, US) |
Filed: |
2014-08-06 |
Issued: |
2020-03-03 |
Claims: |
37 |
|
US10580094
|
1. An energy cost optimizer comprising an electronic data interface, a computing device, and a switch for an electric load, said computing device comprising an electronic processor and electronic memory, wherein said computing device is configured
(9)
(9)
|
|
17. A method for optimizing the cost of electricity consumed by an electric load, comprising
(9)
(9)
|
|