Disclosed are systems and methods for simulating proximity detection of physical effects, the system including an external probe; a base unit associated with the external probe via a connector, the base unit comprising at least one processor coupled to the connector, the at least one processor configured to compute results based on an input received from the external probe; an input device; and a graphical display unit configured to display at least one of the computed results from the at least one processor and the input received from the input device and input received from the external probe.

A method is disclosed to simulate operation of a grid structure. The method includes specifying a type of simulation to be performed and at least one initial condition with a user interface of a device such as a mobile device, where the grid structure comprises at least one of a power generation grid and a power distribution grid. The method further includes transmitting the specified type of simulation and the at least one initial condition from the user device to a computing platform; receiving from the computing platform a result of the simulation at the user device; and visualizing the result of the simulation with the user interface. The type of simulation can be an N-k contingency analysis simulation, where k is equal to zero, 1 or greater than 1.

A data processing system includes a user interface with a user input configured to enable a user to specify a type of simulation to be performed and at least one initial condition, where the simulation is executed using at least one sensor input from a grid structure composed of at least one of a power transmission and distribution grid. The user interface further has a display configured to visualize a representation of a result of a simulation of at least one scenario by presenting a multi-dimensional representation comprised of indicators, where each indicator corresponds to at least one simulation result. The user interface responds to a selection of one of the indicators by the user to visualize a result of the corresponding simulation. The type of simulation can be an N−k contingency analysis simulation, where k is equal to zero, 1 or greater than 1.

A system, method, or apparatus for generating a blast plan that can receive blast data comprising geological properties of a blast site, blasthole parameters, and available explosive product. A pattern footage can be determined based on a relationship between the face height, the specific energy of the available explosive product, and the geological properties of the bench. The burden and spacing can be determined from the pattern footage.

The present invention relates to a method for verifying a measurement control system of a nuclear power plant, and a verification device therefor. A method for verifying a measurement control system used in a nuclear power plant according to the present invention comprises the steps of: connecting a measurement control system to be verified and a simulator that simulates a nuclear power plant; loading a control logic for a first system to the measurement control system to be verified; and verifying the measurement control system to be verified while the first system is operating in the measurement control system to be verified and a second system is operating in the simulator.

Methods, systems, and computer storage media are disclosed for determining electric energy flow predictions for electric systems including photovoltaic solar systems. In some examples, a method is performed by a computer system and includes supplying a consumption time series and a predicted production time series for an electric system to a machine-learning predictor trained during a prior training phase using electric energy consumption training data and photovoltaic production training data. The consumption time series has a first data resolution, and the electric energy consumption training data and the photovoltaic production training data have a second data resolution greater than the first data resolution. The method includes determining, using an output of the machine-learning predictor, a predicted import time series of electric import values each specifying an amount of electric energy predicted to be imported by the electric system with a prospective photovoltaic solar system installed.

Embodiments herein relate to improving a stochastic forecast for uncertain power generations and demands to quantify an effect on an electrical power grid. To improve the stochastic forecast, a method includes fitting marginal distributions to data of the uncertain power generation and demand by power generation and demand nodes of the electrical power grid. The power generation and demand nodes provide corresponding uncertain power generation and demand based on a renewable energy source. The method also includes determining a correlation structure between the power generation and demand nodes by transforming the data from marginal distributions to a second distribution and by fitting a multivariate time series on transformed data. The method also includes simulating multivariate stochastic forecast with an improved correlation structure.

A system, method, or apparatus for generating a blast plan that can receive blast data comprising geological properties of a blast site, blasthole parameters, and available explosive product. A pattern footage can be determined based on a relationship between the face height, the specific energy of the available explosive product, and the geological properties of the bench. The burden and spacing can be determined from the pattern footage.

A system, method, or apparatus for generating a blast plan that can receive blast data comprising geological properties of a blast site, blasthole parameters, and available explosive product. A pattern footage can be determined based on a relationship between the face height, the specific energy of the available explosive product, and the geological properties of the bench. The burden and spacing can be determined from the pattern footage.

According to various aspects and embodiments, a system directed to measuring, evaluating and improving building energy efficiency. The system includes a memory and at least one processor coupled to the memory and configured to provide instructions for capturing information pertaining to a facility, receive, from a mobile device, at least one portion of the information pertaining to the facility, the at least one portion of the information including at least one image of the facility, process the at least one image of the facility to identify elements related to energy usage of the facility; and generate, based at least on the elements, a model of the facility.