Abstract: Settings in a vehicle are adjusted by first learning a predictive model of output vectors that correspond to input vectors of sensor data acquired from vehicle subsystems during training. Each input vector defines a known context associated with the vehicle. During later operation of the vehicle, additional input vectors are obtained from the subsystems, and the corresponding output vectors to adjust the settings are then determined using the predictive model.

Abstract: An output of a photovoltaic (PV) device is predicted by applying Fourier analysis to historical data to obtain frequencies and a mean of the frequencies in the data. Regression analysis is applied to the data to obtain a regression coefficient. Then, the prediction is a sum of the mean at the time step and a deviation from the mean at a previous time step, wherein the means are represented and approximated by selected frequencies, and the deviation for the previous time step is weighted by the regression coefficient.

Abstract: A method detects power theft in a branch of a distribution system by distinguishing between technical losses that are inevitable during the course of normal operation of the system, and non-technical losses that can be attributed to power theft. The method assumes a specific circuit corresponding to that branch, collects data for energy consumed and currents at regular intervals by means of a smart or traditional power meter, estimates the likely resistances of the lines connecting the consumption points to the distribution transformed by means of least squares regression, and uses the estimated resistances to predict technical losses in future time intervals. By comparing the total power losses measured during future intervals with the estimates of the technical losses, the amount of non-technical losses can be estimated, and theft can be signaled when this amount is unusually high.

Abstract: A method and a system control an operation of a vapor compression system using a set of control inputs. A control value is determined based on an output of the operation of the vapor compression system and a setpoint for the operation of the vapor compression system. The control value is used to select at least a subset of the set of control inputs from a computer-readable medium, wherein the subset of control inputs, along or in combination with a function of the control value, forms the set of control inputs.

Abstract: Future travel times along links are predicted using training and prediction phases. During training, seasonal intervals, a seasonal component of the training inflows are learned. The seasonal component is subtracted from the training inflows to obtain training deviations from the training inflows to yield statistics, which along with the seasonal components form a model of traffic flow on the link. During prediction, current travel times on the link are collected for current seasonal intervals to determine current inflows. A most recent travel time is subtracted from a most recent inflow to obtain a current deviation. For a future time, a predicted deviation is estimated using the statistics. The seasonal component is added to the predicted deviation to obtain a predicted inflow from which the future travel time is predicted.

Abstract: A power flow problem (OPF) in an electric power network is globally optimized using a branch and bound tree of nodes connected by edges. The BB initially includes at least a root node, and each node represents a feasible region of limits on voltages and powers. An upper bound on the OPF problem is solved for selected nodes using nonlinear programming, while a lower bound is solved using a convex relaxation. The lowest upper and lower bounds are updated using the current upper and lower bound. If a difference between the lowest upper and lowest lower bound is less than a threshold, then outputting the voltages and the powers for the electric power network as represented by the feasibility region for the selected node. Otherwise, the feasible region of the node is partitioned to replace the node. The process is repeated until the tree is empty.

Abstract: A method determines a value of a thermodynamic parameter of a substance based on a set of secondary manifolds, wherein each secondary manifold represents a mapping among a combination of thermodynamic parameters of the substance, and wherein the mapping is based on a primary manifold representing a mapping between a pair of thermodynamic parameters and a thermodynamic potential. A particular secondary manifold is selected from the set of secondary manifolds based on particular thermodynamic parameters, wherein the particular secondary manifold is a mapping between the particular thermodynamic parameters and the thermodynamic parameter, and the value of the thermodynamic parameter is determined based on the particular secondary manifold and values of the particular thermodynamic parameters.

Abstract: A climate control system for a building includes air conditioning systems and ventilation (HVAC) systems. The system is controlled by determining sensible cooling and heating rates using temperature differences at inlets and outlets at evaporators, as well as moisture absorption, moisture desorption, ventilation influences, human activities, and condensation at the evaporator. Humidity differences and temperature differences are determined as driving forces for moisture absorption, desorption, and temperatures and humidities of interior fabrics. The differences are obtained from a thermal circuit model. A latent cooling rate is determined using the humidity differences. The model integrates a temperature model and a humidity model for jointly predicting temperatures and humidities for operating the HVAC systems using a mass transfer process.

Abstract: A method detects anomalies in time series data, wherein the time series data is multivariate, by partitioning time series training data into partitions. A representation for each partition in each time window is determined to form a model of the time series training data, wherein the model includes representations of distributions of the time series training data. The representations obtained from partitions of time series test data are compared to the model to obtain anomaly scores.

Abstract: A method matches elements in two schemas for two associated databases using automatic schema matching (ASM), wherein there is one schema for each database, wherein the elements define objects in the databases, and wherein the matching is performed on pairs of the elements by a combined matcher including a set of matchers. A Bayesian network (BN) is constructed for the set of matchers, and for each pair of elements the following steps are performing: obtaining an individual similarity value for each pair of the elements and each matcher, determining a likelihood ratio for each individual similarity value, performing belief updating on the BN using the likelihood ratios to obtain a final similarity value and corresponding probability, and outputting the final similarity value and the probability to indicate whether the pair of the elements match, or not.

Abstract: An output of a photovoltaic (PV) device is predicted by applying Fourier analysis to historical data to obtain frequencies and a mean of the frequencies in the data. Regression analysis is applied to the data to obtain a regression coefficient. Then, the prediction is a sum of the mean at the time step and a deviation from the mean at a previous time step, wherein the means are represented and approximated by selected frequencies, and the deviation for the previous time step is weighted by the regression coefficient.

Abstract: A method controls a heating, ventilation air conditioning (HVAC) system for a building. The system is modeled with a state space, wherein the state space includes a set of states and a corresponding action for each state, wherein the system changes from a current state to a next state based the current state, and a selected action. A set of samples is selected in the state space, and triangulated to descritize the state space into simplices, wherein each simplex has a set of nodes. For each state and a corresponding simplex, a value for each node is obtained, and then a trajectory of set-points of temperatures for the system is generated based on the values.

Abstract: A method and a system control an operation of a vapor compression system using a set of control inputs. A control value is determined based on an output of the operation of the vapor compression system and a setpoint for the operation of the vapor compression system. The control value is used to select at least a subset of the set of control inputs from a computer-readable medium, wherein the subset of control inputs, along or in combination with a function of the control value, forms the set of control inputs.

Abstract: A method matches elements in two schemas for two associated databases using automatic schema matching (ASM), wherein there is one schema for each database, wherein the elements define objects in the databases, and wherein the matching is performed on pairs of the elements by a combined matcher including a set of matchers. A Bayesian network (BN) is constructed for the set of matchers, and for each pair of elements the following steps are performing: obtaining an individual similarity value for each pair of the elements and each matcher, determining a likelihood ratio for each individual similarity value, performing belief updating on the BN using the likelihood ratios to obtain a final similarity value and corresponding probability, and outputting the final similarity value and the probability to indicate whether the pair of the elements match, or not.