Abstract: Methods and software for managing electric power networks in a distributed manner. A supply and demand balancing scheme is used across a network of agents to facilitate agreement on the optimal incremental price for energy provision in an electric power network subject to the constraint that the total generation in the electric power network matches the total network demand. A multi-step optimization approach is provided that incorporates inter-temporal constraints, allowing for optimal integration of flexible power loads and power storage entities and taking into account power generation ramp rate constraints at individual generation entities. The approach is extended to cope with line flow constraints imposed by the physical system topology and transmission line limits/capacities.

Abstract: The present invention describes mobile phone applications that include methods and systems which automatically schedule tasks from a dynamically-changing task list for efficient utilization of available time. Unlike the prior personal task scheduling systems, the proposed system uses optimization algorithms and computer programs when creating a time schedule of tasks. In order to schedule individual tasks, the system takes into account multiple constraints controllable by the user. Basic constraints include individual task's deadline, start-time, minimum and maximum time-chunks for task fragments, relative priority of tasks (in case of time-collision), etc. Further constraints may include user's general preferences regarding individual task or group of tasks. Specifically, preferences may include time-of-day (e.g., morning, evening), location (e.g., home, work, particular grocery store or chain, particular gym, park), etc.

Abstract: Methods and software for managing electric power networks in a distributed manner. A supply and demand balancing scheme is used across a network of agents to facilitate agreement on the optimal incremental price for energy provision in an electric power network subject to the constraint that the total generation in the electric power network matches the total network demand. A multi-step optimization approach is provided that incorporates inter-temporal constraints, allowing for optimal integration of flexible power loads and power storage entities and taking into account power generation ramp rate constraints at individual generation entities. The approach is extended to cope with line flow constraints imposed by the physical system topology and transmission line limits/capacities.

Abstract: A system and method for locating, tracking, and monitoring resource in large-scale facilities is disclosed herein. The system is based on a sensor network and is efficient, scalable, and requires only short-range communication. The system allows for sensor-to-sensor communication as well as the traditional sensor-to-anchor communication to effectively eliminate long-range communications. In order to perform resource localization and tracking, the present invention pairs each resource with an inexpensive, low-powered sensor possessing minimal communication and computation capabilities. The sensors communicate with only nearby resources or anchors and those resources communicate with their nearby resources or anchors until a wireless, linked network of resources and anchors is formed.

Abstract: A system and method for locating, tracking, and monitoring resource in large-scale facilities is disclosed herein. The system is based on a sensor network and is efficient, scalable, and requires only short-range communication. The system allows for sensor-to-sensor communication as well as the traditional sensor-to-anchor communication to effectively eliminate long-range communications. In order to perform resource localization and tracking, the present invention pairs each resource with an inexpensive, low-powered sensor possessing minimal resources or anchors and those resources communicate with their nearby resources or anchors until a wireless, linked network of resources and anchors is formed.