A virtual power plant is presented. A virtual power plant couples to one or more virtual power plant units that provide power and/or storage of power to a power grid. In some embodiments, a method of operating a virtual power plant includes receiving a request from a requester; determining whether the request can be performed by a set of units; reporting the result to the requester; and if a subsequent execution request is received from the requester, then executing the request.

A system to interrupt the line or supply side power or charged system of any building, appliance, process, and the like, so as to render the system without charge or current output outside of the junction box/enclosure or equipment load supply connection so that emergency first responders or solar/any technician, authorized personnel in any field, system maintenance crew may avoid electrocution, chemical or machine/appliance hazard in the presence of fire, explosion, structural failure/compromise, moisture, flammables, caustics, hazmat, water stream, mist, fogging, physical damage or servicing of the system. The system can be engaged for any anticipated disaster such as fire, hurricane, tornado, earthquake, flood, and the like.

A hybrid machine-learning and simulation-based system provides forecasting for an energy system. The system predicts day-ahead and real-time supply and demand, and prices of energy, and generates inputs to an optimization algorithm performed by an Independent System Operator (ISO) that affects behavior of electricity generators and electricity consumers to improve the economic efficiency of electricity grids, and reduce harmful emissions.

Examples relate to a method includes monitoring a set of parameters. The set of parameters are associated with a first set of computing components and a second set of computing components. The first set of computing components is located in a first region and the second set of computing components is located in a second region. The first region is positioned proximate a generation station control system associated with a generation station and the second region is positioned remotely from the generation station control system. Each computing system of the second set of computing systems is configured to adjust power consumption during operation. The method also includes adjusting power consumption at one or more computing components of the second set of computing components based on the set of parameters.

A power generation amount prediction apparatus includes a first detector, acquisition unit, database, and controller. The first detector detects a measured value of the power generation amount of a photovoltaic power generation device. The acquisition unit acquires a predicted value of the power generation amount by the photovoltaic power generation device at specific times. The database stores the measured value and the predicted value for each of the specific times for a plurality of days. The controller calculates a corrected predicted value for each of the specific times based on a maximum measured value, a maximum predicted value, and a predicted value newly received by the acquisition unit. The maximum measured value and the maximum predicted value are respectively the maximum value, for each of the specific times, of the measured value and of the predicted value for a predetermined number of days.

There discloses a ubiquitous energy network for optimum utilization of energy, which includes nodes connected by an interconnected network architecture of virtual pipelines transferring a ubiquitous energy flow, with the ubiquitous energy flow being transferred among the nodes bi-directionally. The node includes a system energy efficiency controller, and at least one of other nodes, an energy generation device, an energy storage device, an energy utilization device, and an energy regeneration device connected to the controller. The controller controls the input and output of the ubiquitous energy flow of the at least one of the other nodes, the energy generation device, the energy storage device, the energy utilization device, the energy regeneration device. Furthermore, the node, an access terminal, a virtual tag, and the virtual pipeline of the ubiquitous energy network, and a server and method for providing energy transaction and service by the ubiquitous energy network are disclosed.

A liquid level control system, which may be used with a clarifier in a sewage treatment plant, manages liquid level of an upstream basin by controlling liquid flow in or out of a system that may use a midstream device to equally distribute flow in or out of the basin. This headloss inducing device creates a non-linear relationship between upstream liquid level to be controlled and the lesser downstream liquid level behind the gate or valve. Without the use of electrical controls, the systems of the invention include a gate or valve with counterforces that manage the outflow stream of liquid while accounting for the non-linear head loss created by the midstream device, thus reaching a desired liquid level range for all system flowrates.

A liquid level control system, which may be used with a clarifier in a sewage treatment plant, manages liquid level of an upstream basin by controlling liquid flow in or out of a system that may use a midstream device to equally distribute flow in or out of the basin. This headloss inducing device creates a non-linear relationship between upstream liquid level to be controlled and the lesser downstream liquid level behind the gate or valve. Without the use of electrical controls, the systems of the invention include a gate or valve with counterforces that manage the outflow stream of liquid while accounting for the non-linear head loss created by the midstream device, thus reaching a desired liquid level range for all system flowrates.

An adaptive control device and adaptive control method, and a control device of an injection molding machine, which allow optimal adaptive control to be performed automatically and easily, while preventing a degradation of responsiveness. The adaptive control device is configured to perform feedback control in such a manner that an operation value is output based on a command value and a feedback value which is a sum of a controlled value output from a controlled target and a compensation value output from a parallel feed-forward compensator; wherein the parallel feed-forward compensator includes: an identification section which sequentially estimates a frequency response characteristic of the controlled target and an adjustment section which adjusts the compensation value based on the estimated frequency response characteristic.

Systems, methods, and messages of the present invention provides IP-based messages associated with the grid elements, wherein each IP-based message includes an internet protocol (IP) packet that is generated autonomously and/or automatically by the grid elements, intelligent messaging hardware associated with the grid elements, at least one coordinator, and/or a server associated with the electric power grid and its operation, energy settlement, and/or financial settlement for electricity provided or consumed, transmitted, and/or curtailed or reduced. The IP packet preferably includes a content including raw data and/or transformed data, a priority associated with the IP-based message, a security associated with the IP packet, and/or a transport route for communicating the IP-based message via the network.