A crossover protection system including a product transport vehicle having a tank compartment for containing a liquid product, a fluid property sensor positioned to contact liquid product stored in the tank compartment, a system controller, and a valve coupled to the tank compartment. The valve regulates a flow of liquid product from the tank compartment and has a normally locked state. The system controller may compare a received transported liquid type signal from the fuel property sensor indicative of the type of liquid product in the tank compartment and compare the type of liquid product to a stored liquid product type. If the two types match, the crossover protection controller transitions the valve to an unlocked state to allow the liquid product to unload from the tank compartment. If the two types do not match, the crossover protection controller will disable the valve from transitioning to the unlocked state.

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.

An irrigation system includes at least one environmental sensor, such as a solar radiation sensor that is installed on an irrigation site, and a soil moisture sensor that is also installed on the irrigation site. Programming allows an estimated ET value to be calculated based at least in part on the output signal of the environmental sensor. A pre-programmed watering schedule is automatically modified based on the estimated ET value to thereby conserve water while maintaining the health of plants on the irrigation site. The system automatically inhibits irrigation when an output signal of the soil moisture sensor indicates an amount of moisture in the soil is above a predetermined threshold.

The invention relates to a method for the automatic irrigation of plants, wherein the temporal progression of soil moisture is determined from measured soil moisture values, and said progression is used for the calculation of an optimized irrigation time duration, such that both water excess in the soil and soil drying are avoided as much as possible. Preferably, the time duration of irrigation is constantly evaluated and optimized using comparisons of measured values with prespecified moisture- and dryness threshold values (GWmoist, GWdry), and automatically adjusted to changing environmental conditions and/or plant requirements.

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.

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.

Various examples are provided for feedback control of power systems. The feedback control can provide simultaneous frequency regulation and economic operation of a power system. In one example, a method includes obtaining a frequency difference associated with a generator of a power system; determining an output power adjustment based at least in part upon the frequency difference and a cost function associated with the generator; and providing a power command to a secondary frequency control of the generator, the power command based upon the output power adjustment. In another example, a generator control system includes a primary frequency controller configured to control frequency droop of a generator of a power system; and a secondary frequency controller configured to adjust output power of the generator based at least in part upon a frequency difference associated with the generator and a cost function associated with the generator.