A computer-implemented method and system is provided. The system adaptively switches prediction strategies to optimize time-variant energy demand and consumption of built environments associated with renewable energy sources. The system analyzes a first, second, third, fourth and a fifth set of statistical data. The system derives of a set of prediction strategies for controlled and directional execution of analysis and evaluation of a set of predictions for optimum usage and operation of the plurality of energy consuming devices. The system monitors a set of factors corresponding to the set of prediction strategies and switches a prediction strategy from the set of derived prediction strategies. The system predicts a set of predictions for identification of a potential future time-variant energy demand and consumption and predicts a set of predictions. The system manipulates an operational state of the plurality of energy consuming devices and the plurality of energy storage and supply means.

Methods and computer systems report and track resource performance for business customers. The computer system receives usage data about a resource associated with a customer of a utility, including hourly usage information about the resource metered at a business premises of the customer. The computer system receives operational data associated with the business premises, including hours of operations information describing when the business premises is open to patrons. The computer system determines resource performance data for the business premises using the received usage data and the received operational data, including information about: (i) resource usage at the business premises during the hours when open to patrons, and (ii) resource usage at the business premises during the hours when closed to patrons. The computer system causes a reporting of this information to the customer of the resource.

Systems for managing a workspace are disclosed. A system to manage a workspace includes a plurality of docking stations located at corresponding workstations. Each docking station is configured to provide a network connection and power to a computer device at a corresponding workstation. Each docking station of the plurality of docking stations includes a power input and a network interface to communicate with a network. The system also includes a system computer including a system network interface to communicate with each docking station of the plurality of docking stations via the network.

Accessing an energy management policy for a plurality of devices is described, wherein the devices are coupled with a first structure. The energy usage of the devices is monitored. An energy usage rule and energy usage is then compared. The energy management policy and energy usage is also compared. Based on the comparing, an instruction is generated to modify an energy usage profile of said device to correlate with the energy usage rule associated with the devices and the energy management policy, thereby enabling efficient energy management.

A method for collecting and analyzing operational information from a network of components associated with a liquid energy commodity comprises the steps of: (a) measuring an amount of the liquid energy commodity in storage at one or more storage facilities in the network, and storing that measurement data; (b) determining a flow rate of the liquid energy commodity in one or more selected pipelines in the network, and storing that flow rate data; (c) ascertaining an operational status of one or more processing facilities in the network, and storing that operational status information; (d) analyzing the measurement data, the flow rate data, and the operational status information to determine a balance of the liquid energy commodity in the network or a selected portion thereof at a given time; and (e) communicating information about the balance of the liquid energy commodity to a third-party market participant.

A system for controlling building services, the system including a services array supporting a plurality of service devices, an electronic controller that communicates with a client device to determine a selected profile defining service device settings and control the service devices in the services array in accordance with the service device settings defined by the profile, to thereby at least partially control building services.

The invention teaches a system and method for reducing energy consumption in commercial buildings. The invention provides development of certain mechanical heat profiles and use of such profiles in an automated optimization method. Outputs communicate with the building management system of the commercial building, and regulate the heating system during a season when the building activates the heating system. Various embodiments are taught.

The invention provides control systems and methodologies for controlling a process having computer-controlled equipment, which provide for optimized process performance according to one or more performance criteria, such as efficiency, component life expectancy, safety, emissions, noise, vibration, operational cost, or the like. More particularly, the subject invention provides for employing machine diagnostic and/or prognostic information in connection with optimizing an overall business operation over a time horizon.

A computer-implemented method and system is provided. The system adaptively switches prediction strategies to optimize time-variant energy demand and consumption of built environments associated with renewable energy sources. The system analyzes a first, second, third, fourth and a fifth set of statistical data. The system derives of a set of prediction strategies for controlled and directional execution of analysis and evaluation of a set of predictions for optimum usage and operation of the plurality of energy consuming devices. The system monitors a set of factors corresponding to the set of prediction strategies and switches a prediction strategy from the set of derived prediction strategies. The system predicts a set of predictions for identification of a potential future time-variant energy demand and consumption and predicts a set of predictions. The system manipulates an operational state of the plurality of energy consuming devices and the plurality of energy storage and supply means.

A method for managing an installation (10), the installation (10) including: a power supply device (14), and members (16) supplied with energy by the power supply device (14), the method including the following steps: determining the available energy coming from the power supply device (14), determining the energy consumed by the members (16), and optimizing the operation of the installation (10) so that a criterion is met, the criterion being met at least if the energy balance of the installation (10) is positive for a given length of time.