Abstract: A control command apparatus in a power system selecting a measuring apparatus according to a power system state, includes: a measuring apparatus extraction unit (112) extracting a measuring apparatus (2) between a first and second control apparatus (3) downstream the first control apparatus (3), or a measuring apparatus (2) downstream the first control apparatus (3) if no second control apparatus (2) exists, when a predetermined condition is satisfied, based on system configuration information (121), and generating measuring apparatus information (123) associating the extracted measuring apparatus (2) and the first control apparatus (3) with each other; and a control command generation unit (114) acquiring a measurement value from the measuring apparatus (2), identifying a control apparatus (3) associated with the measuring apparatus (2) as a the measurement value source based on the measuring apparatus information (123), and calculating and outputting a control parameter to the identified control apparatus (

Abstract: Systems and methods for estimating a time to cool down or warm up a building zone from a temperature setback condition are provided. A described method includes determining, by a controller for the building zone, at least one of a cooling demand for the building zone and a heating demand for the building zone for a time period corresponding to the temperature setback condition. The method further includes estimating a return time using at least one of the cooling demand and the heating demand. The return time is the time to cool down or warm up the building zone from the temperature setback condition.

Abstract: The apparatus, systems and methods herein facilitate generation of energy-related revenue for an energy customer of an electricity supplier. The apparatuses and methods herein can be used to generate suggested operating schedules for the energy assets that including a controllable energy asset, using an objective function. The objective function is determined based on a dynamic simulation model of the energy profile of the energy assets. The dynamic simulation model is adaptive to physical changes in the energy assets based on a parametric estimation using at least one model parameter. The model parameter is at least one of an operation characteristic of the controllable energy asset, a thermodynamic property of the energy assets, and a projected environmental condition. Energy-related revenue available to the energy customer is based at least in part on a wholesale electricity market or on a regulation market.

Abstract: The disclosure facilitates generation of energy-related revenue for an energy customer of an electricity supplier. The disclosure herein can be implemented to generate suggested operating schedules for energy assets that include a controllable energy asset, using an objective function. The objective function is determined based on a dynamic simulation model of the energy profile of the energy assets. The dynamic simulation model is adaptive to physical changes in the energy assets based at least in part on a physical model of the thermodynamic property of the at least one energy asset and at least in part on data representative of an operation characteristic of the controllable energy asset, a thermodynamic property of the energy assets, and/or a projected environmental condition. Energy-related revenue available to the energy customer is based at least in part on a wholesale electricity market or on a regulation market.

Abstract: This invention relates to methods and systems for controlling consumption, particularly power consumption, more particularly by appliances in a building, and is generally suitable for integration with building management systems. Embodiments of the invention provide methods and systems which probabilistically limit the aggregated power load of a plurality of climate control appliances in a building to a selected value, while seeking to minimize the deviation from target environmental conditions within the building. The embodiments of the invention propose distributed decision-making by individual devices based on projected deviation from the target conditions after a period of activity or inactivity.

Abstract: A cutting data generator includes a control device configured to obtain provisional hole arrangement data usable to arrange a plurality of provisional holes and to obtain an intercentral distance between two of the provisional holes. The provisional holes are adjacent to each other. The control device is also configured to connect the provisional holes with an auxiliary hole and to determine that the provisional holes and the auxiliary hole are contained in a group, thereby extracting an outermost outline of the group of the provisional holes arranged, when the intercentral distance between the provisional holes is not less than a sum of radii of the provisional holes and not more than a predetermined value. The control device is further configured to generate cutting data usable to cut the sheet along the outline extracted. The auxiliary hole having a smaller diameter than the provisional holes.