Methods and systems for originating and monitoring energy transactions using distributed ledger technology are provided. In one embodiment, a method is provided that includes receiving a first request to originate a contract associated with an energy transaction. The first request may include a first draft of the contract. A first transaction may be generated based on the first draft of the contract and may be added to a distributed ledger. Transaction information regarding the energy transaction may be received and a second draft of the contract may be generated based on the transaction information. A second transaction may be generated based on the second draft of the contract and may be added to the distributed ledger.

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.

The disclosure provides an energy management system that is based on a distributed architecture that includes networked energy management devices located at a plurality of sites and a collection of energy management program applications and modules implemented by a centralized energy management service unit. The energy management program applications and modules are responsible for facilitating customer access to the system, configuring energy management devices, and collecting, storing, and analyzing energy management data collected from the plurality of sites. The energy management system is adaptable to a wide variety of energy usage requirements and enables customers to configure energy management devices at customer sites using scheduling templates, to define and customize site groupings for device configuration and data analysis purposes, and to request and view various statistical views of collected energy usage data.

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.

The present invention discloses an N-1 static security analysis method for integrated energy system, including the following steps: constructing a static model of the IES including electro-gas-thermal coupling elements, calculating multiple energy flow equations, and calculating the multiple energy flow of the IES to obtain an operating status of the IES; constructing a N-1 preconceived accident set, calculating multiple energy flow of the IES, and performing security verification to the status of the coupling elements in each preconceived accident set, respectively; analyzing the security verification results by comparing the results of static security analysis under different control modes, so that an N-1 static security analysis is achieved. The present invention fully researches the security of the IES, comprehensively considers the influence of the output changes of the coupling elements on the operating point of the energy system, and evaluates the security and stability of the IES.

An integrated intelligent building management system is disclosed and includes a cloud management system having a cloud configuration platform, an intelligent building system corresponding to a building and having a ground configuration platform, and an intelligent building kit connected with multiple equipment in the building. The cloud configuration platform establishes multiple cloud configuration files. The intelligent building system obtains one cloud configuration file according to the MAC address and performs a ground configuration procedure confined by the cloud configuration file. When the intelligent building kit communicates with the intelligent building system, the ground configuration platform activates a configuration module corresponding to the kit category of the intelligent building kit to perform configuration to the intelligent building kit and establishes a ground configuration file, and the ground configuration platform exports the ground configuration file to the intelligent building kit to finish the ground configuration procedure.

Embodiments of the disclosure relate to methods and systems for modeling, controlling and computer-platform implementation of a Synthetic Reserve Provisioning System (SRPS) needed to aggregate and integrate small devices closer to consumers, referred to as Distributed Energy Resources (DERs). This know-how is based on data-driven physics-based modeling and it supports the dispatch and scheduling of DERs so that they can participate in system level provision of electricity service. An SRPS generally comprises multiple levels of consumer aggregators (Synthetic Reserve Provisioning (SRP) modules) which interact by exchanging well-defined information about provable consumer characteristics and their own loading and pricing conditions. Three different SRPS designs are described. They differ with respect to implementation requirements for communications, control, technical and economic risks assumed by different SRP modules. Depending on the control and available communication architecture, it is ultimately possible to ensure DER integration at value, even with a limited number of participating devices.

A method for providing a planning canvas may include receiving a request for a planning canvas, defining one or more group priorities for the planning canvas for one or more time periods based at least in part on one or more received user interactions, receiving a confirmation to release the planning canvas, and in response to receiving the confirmation to release the planning canvas, enabling access to the one or more group priorities for one or more associated users.

An integrated solution strategy that integrates multiple domains together in a seamless and standardized way for increasing a user's control over facilities and equipment. This integrated approach can lead to a reduction of energy usage, more efficient energy usage, increased safety, health, and security of a facility and its occupants, optimized production in industrial settings, and associated and other economic advantages. Accurate, reliable information about a facility or equipment is essential to making timely, informed decisions. Enhanced automation provides a reliable means of collecting and assembling a variety of operating data and archiving that data into a central database for evaluation, reporting, forecasting, and negotiation with resource marketers.

Dynamic tiering of datacenter power for workloads is disclosed. A power capacity, including redundant power capacity and granular power capacity values within a datacenter, is determined. An outage time duration requirement for the power capacity that was determined is evaluated, where the outage time duration requirement is a number of minutes. A hold time duration requirement for the power capacity is evaluated, where the hold time duration is a number of minutes. A number of allowable occurrences of power outage for the power capacity is evaluated. A power requirement metric, based on the outage time duration requirement, the hold time duration requirement, and the number of occurrences, is calculated. A power topology within the datacenter is modified based on the power requirement metric. The modifying provides dynamic power tiering within the datacenter. The dynamic tiering includes a variable service level agreement for power within the datacenter.