Systems and methods are provided for determining data center resource requirements, such as cooling and power requirements, and for monitoring performance of data center resource systems, such as cooling and power systems, in data centers. At least one aspect provides a system and method that enables a data center operator to determine available data center resources, such as power and cooling, at specific areas and enclosures in a data center to assist in locating new equipment in the data center.

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.

Techniques are described for energy scoring of a monitored property and users of the monitored property. A system provides users with information related to the efficiency of the monitored property and aggregates data over multiple monitored properties. The system computes and outputs a score for a monitored property that reflects efficiency of the property and/or the users of the property. The system may track how that score changes through time, and how it relates to neighboring properties. The score may be expressed as both a number and a percentile.

A system and method for augmenting and automating an ERP (enterprise resource planning) system with artificial intelligence to monitor the progress with a non-intrusive technique in human assembly.

Methods and systems for improved creation, monitoring, and updating of energy transactions are provided. In one embodiment, a method is provided that includes receiving a request to originate a contract for an energy transaction. Transaction information concerning the energy transaction may be received and may identify a type of energy resource and parties for the energy transaction. A requirement for the energy transaction may be identified within the contract codex and at least one condition may be determined based on the requirement. An updated contract may be generated by adding the at least one condition to the contract. Information regarding the updated contract may be stored on the distributed ledger.

An environment contribution effect report generation apparatus for generating a report on an environment contribution effect produced by introduction of a facility includes: an environmental load intensity acquisition unit configured to identify and acquire an amount of environmental load caused in generating energy used by the facility per unit amount and evidence information on the amount of environmental load, from a history of energy usage by the facility; and an environment contribution effect report generation unit configured to calculate an environment contribution effect from an environmental load intensity and an amount of energy used by the facility and to generate a report containing the environment contribution effect and the evidence information.

Embodiments disclosed prove a method for improving power usage for an oilfield operation. The method includes analyzing power usage for the oilfield operation, mapping power consumption for the oilfield operation; mapping power utilization for the oilfield operation; and improving power utilization for the oilfield operation.

The present invention provides a method for an optimal scheduling decision of an air compressor group based on a simulation technology, which belongs to the technical field of information. The present invention uses expert experience to construct an air compressor energy consumption model sample set, and applies a least squares algorithm to learn relevant parameters of an air compressor energy consumption model; uses maximum energy conversion efficiency and minimum economic cost based on an equivalent electricity as target functions, and applies the simulation technology and a depth first tree search algorithm to solve a multi-target optimal scheduling model of the air compressor group; and finally uses a fuzzy logic theory to describe the preferences of decision makers, and introduces the decision maker preference information into interactive decision making, thereby assisting production staff to formulate safe, economical, efficient and environmentally friendly operation schemes to achieve an operation mode of maximum resource utilization of the air compressor group. The method also has wide application value in different industrial fields.

The disclosure is directed to a system for integrating and centralizing multiple manufacturing software types into a consolidated platform. The system interfaces with third party software and performs data collection, data analytics, factory controls, virtual modeling, and checklist creation, as well as many other manufacturing applications. Artificial intelligence and machine learning are also integrated into the platform to assist with root cause analysis and increasing production efficiency.

Automated managing of a data center installation is provided. The managing includes evaluating, at least in part by image processing analysis, a captured image of at least a portion of the data center installation to identify a component-related deficiency within the data center installation. One or more measurements within a data center are used to determine an energy penalty due to the identified component-related deficiency within the data center installation, and an action to correct the component-related deficiency within the data center installation is initiated based on the energy penalty exceeding a predefined threshold.