228 results about "Load profile" patented technology

Exemplary embodiments of methods and apparatuses to dynamically redistribute power in a system that includes a plurality of subsystems are described. A load profile of the system is identified. The power is redistributed between the subsystems while tracking the load profile. The load profile may be an asymmetric, or a balanced load profile. The load profile is identified based on a utilization factor for each of the subsystems. In one embodiment, the power used by each of the subsystems is sensed by one or more sensors or predicted or estimated. A utilization factor, which may be a ratio of the actual power used by the subsystem to the power allocated to the subsystem, is calculated. The load profile is determined using the utilization factor of each of the subsystems. A power weighting arrangement between the subsystems, for example, a power distribution table, is selected based on the load profile.

Provided is a day-ahead load reduction system based on a customer baseline load for inducing a user to efficiently manage energy consumption by applying an incentive (user compensation according to load reduction) to achieve load reduction and load decentralization. The day-ahead load reduction system based on a customer baseline load operates in connection with a provider terminal and a user terminal through a network to induce a reduction in the load of a user and includes an AMI/AMR translator collecting load profile data of the user in real time, converting the load profile data and storing the load profile data in a meter data warehouse; a meter data management system monitoring and analyzing the load profile data stored in the meter data warehouse in real time; a demand response operation system managing the demand of the user by using the load profile data and performing overall management, analysis and verification of a day-ahead load reduction event; a customer energy management system operating in connection with the demand response operation system and providing information on the load to the user through the user terminal in real time to allow the user to control the load; and an account system operating in connection with the demand response operation system and the customer energy management system, calculating an incentive for the day-ahead load reduction event and notifying a provider and the user of the incentive through the provider terminal and the user terminal.

The present invention generally teaches systems and methods for creating appliance signatures based upon whole house composite load profiles. Methods may includes steps such as identifying primitive elements including transients and absolute steady state levels; clustering the primitive elements along multiple dimensions to form impulses; combining impulses to form simple bundles; combining simple bundles with each other or impulses to form complex bundles; and determining specific appliance signatures that substantially match the complex bundles. Methods may also include steps such as determining transitions within the whole house composite load profile; determining household specific appliance state machines for each appliance in the household; and disaggregating the whole house composite load profile into individual appliance energy loads by assigning the determined transitions to the determined household specific appliance state machines.

A power management system uses software to predictively estimate remaining battery endurance by considering battery usage in context of a predetermined battery output and equipment load profiles, and appropriately issuing a shutdown alert or commencing a shutdown event as the end of battery endurance nears. More particularly, a battery supplies power to electrical equipment when a primary power source fails. Initially, the system receives one or more estimates of the battery's endurance and capability of supplying electrical power to the equipment. The system tracks battery use by prescribed electrical equipment. Utilizing software, for example, the system determines when estimated endurance minus battery usage equals a predetermined difference. Relative to this time, the system takes appropriate action(s) such as initiating shutdown of the equipment or issuing a shutdown alert.

Methods, devices, and systems for detecting return-oriented programming (ROP) exploits are disclosed. A system includes a processor, a main memory, and a cache memory. A cache monitor develops an instruction loading profile by monitoring accesses to cached instructions found in the cache memory and misses to instructions not currently in the cache memory. A remedial action unit terminates execution of one or more of the valid code sequences if the instruction loading profile is indicative of execution of an ROP exploit involving one or more valid code sequences. The instruction loading profile may be a hit/miss ratio derived from monitoring cache hits relative to cache misses. The ROP exploits may include code snippets that each include an executable instruction and a return instruction from valid code sequences.

A degradation modeling and lifetime prediction method considering effective shocks includes steps of: first collecting degradation test data, then establishing a performance degradation model, and determining an environment or load changing rate threshold of a product subjected to effective shock based on the test data; estimating parameters in the model, and determining effective shock occurrence times based on the future environmental or load profile, and finally preforming lifetime and reliability prediction. Specific steps are as follows: step 1: collecting degradation test data; step 2: establishing a degradation model; step 3: determining an environment or load changing rate threshold; step 4: estimating the parameters; step 5: predicting the times that effective shocks occur; and step 6: performing reliability prediction. The present invention considers effects of effective shocks caused by sharp environment or load changes on product performance degradation, which makes the prediction method more realistic and improves the prediction accuracy.

A formed part having a multiple-plate structure of zonal design includes a base plate and a plurality of reinforcing plates fastened to the base plate. The multiple-plate structure is configured so that its strength is largely adapted to the load profile to be applied to the formed part and so that its cost of production is reduced. To this end, the thicknesses of the reinforcing plates vary as a function of the load structure to be applied to the formed part and the reinforcing plates engage each other in a positive locking manner so that the abutting edges are provided essentially with regularly arranged projections which are in mutual engagement.

A method for generating a net load forecast for a utility grid, the grid including intermittent distributed energy resources and loads, comprising: defining two or more load forecast zones, each zone being associated with a load profile type and a climate zone type; assigning each of the loads to one of the zones based on the load profile and climate zone types associated with the load; assigning each of the energy resources to at least one of the zones based on the climate zone type associated with the energy resource; for each zone, generating an electrical energy consumption forecast for loads, an electric power generation forecast for energy resources, and a net load forecast from the electrical energy consumption and electric power generation forecasts; combining the net load forecast for each zone to generate the net load forecast for the grid; and, presenting the net load forecast on a display.

Methods and systems using aggregated electrical system load profiles in determining additional load profiles, and determining consumption management system characteristics, features, and operating requirements at a site are disclosed, along with methods of generating and maintaining databases of load profile information and consumption management system requirements. By using some embodiments of the methods and systems described herein, it is faster and easier to design and implement effective consumption management systems, to determine problematic electrical systems at a site, and to diminish anomalous consumption patterns in an aggregate unprofiled electrical system load profile.

An invention is provided for determining a state of health of a battery. The invention includes applying a predefined load profile to a battery, and obtaining a plurality of battery response voltage data corresponding to points along the predefined load profile. The battery electrical double layer capacity data is calculated from the battery response voltage data, and thereafter utilized to determine the state of health of the battery.

A method of forecasting loads on a distribution network is disclosed. The method employs load profiles in combination with short-term load estimations to forecast expected loads on a distribution network. The predicted loads may then be used by power restoration controllers when performing back-feed capacity checks.

Modular consumption management systems provide benefits of adaptability, customization, and progressive investment to electrical utility customers, particularly those with loads and electrical systems capable of curtailment and mitigation. Providing modules based on measurements made and consumption patterns detected in load profiles of individual loads and the site as a whole is described. Control and mitigation capabilities and methods are described in conjunction with identifying correlative modules that will best serve the needs of the site being monitored by a measurement module. Combined measurement and control modules or control and mitigation modules are also described, as well as interchangeable modules that can be put in place when excess consumption patterns at the site change over time.

A system and method of controlling aggregated thermostatically controlled appliances (TCAs) for demand response is disclosed. A targeted load profile is formulated and a forecasted load profile is generated. The TCAs within an “on” or “off” control group are prioritized based on their operating temperatures. The “on” or “off” status of the TCAs is determined. Command signals are sent to turn on or turn off the TCAs.