Systems and methods for executing a crypto-currency transaction in response to a predicted forward market price are disclosed. An example system may include a controller configured to: interpret a resource utilization requirement for a task system having at least one of a compute task, a network task, or a core task; interpret a plurality of external data sources, wherein the plurality of external data sources comprises at least one data source outside of the task system; operate an expert system to predict a forward market price for a resource in response to the resource utilization requirement and the plurality of external data sources; and execute a cryptocurrency transaction on a resource market in response to the predicted forward market price.

Systems and methods for machine forward energy purchase based on model simulation on a digital twin are disclosed. An example system may include an energy and compute facility including at least one of an energy source or an energy utilization requirement, and a controller. The controller may include a facility model circuit to operate a digital twin for the facility; a facility description circuit to interpret a set of parameters from the digital twin for the facility; and a facility configuration circuit to operate an adaptive learning system, wherein the adaptive learning system adjusts a facility configuration based on the set of parameters from the digital twin based, at least in part, on the energy source or the energy utilization requirement, and an energy credit forward market.

Systems and methods for machine forward energy purchase based on model simulation on a digital twin are disclosed. An example system may include an energy and compute facility including: at least one of an energy source or an energy utilization requirement; and a controller. The controller may include a facility model circuit to operate a digital twin for the facility; a facility description circuit to interpret a set of parameters from the digital twin for the facility; and a facility configuration circuit to operate an adaptive learning system, wherein the adaptive learning system is configured to adjust a facility configuration based on the set of parameters from the digital twin based at least in part on the energy source or the energy utilization requirement and an energy spot market.

One or more implementations of the present specification provide a blockchain-based electronic bill cancellation method, apparatus, and an electronic device. The blockchain stores electronic bills. The method includes, in response to detecting a cancellation transaction that is corresponding to a target electronic bill and that is broadcasted to the blockchain, determining whether the target electronic bill has been accounted; if the target electronic bill has not been accounted, updating the target electronic bill to a cancelled state; or if the target electronic bill has been accounted, broadcasting a reversed bill corresponding to the target electronic bill to the blockchain for storage.

A transaction-enabling system is provided. The system includes a controller configured to access a distributed ledger comprising a firmware data value and tokenize the firmware data value. The controller is further configured to interpret an access request for the firmware data value and, in response to the access request, provide a provable access to a firmware corresponding to the firmware data value. The controller is further configured to interpret one of a download operation or an install operation of a firmware asset corresponding to the firmware data value, and record a transaction on the distributed ledger in response to the one of the download operation or the install operation.

Systems and methods for adjusting a facility configuration based on detected conditions are disclosed. An example system may include an energy and compute facility having a compute resource, and an energy source or an energy utilization requirement. The system may also include a controller having a facility description circuit to interpret detected conditions, and a facility configuration circuit to operate an adaptive learning system. The adaptive learning system is configured to adjust a facility configuration based on the detected conditions, wherein adjusting the facility configuration includes adjusting a utilization of the compute resource and at least one additional facility resource.

Systems and methods for adjusting a facility configuration based on a set of parameters from a digital twin are disclosed. An example system may include an energy and compute facility having a compute task or resource, and an energy source utilization requirement. The system may include a controller having a facility model circuit to operate a digital twin for the facility, a facility description circuit to interpret a set of parameters from the digital twin, and a facility configuration circuit to operate an adaptive learning system. The adaptive learning system is configured to adjust a facility configuration based on the set of parameters from the digital twin and perform a purchase or sale transaction on an energy credit spot market or an energy credit forward market.

Systems and methods for adaptively improving an energy delivery are disclosed. An example system includes a machine having an associated regenerative energy facility, the machine having a requirement for a compute, networking, or energy consumption task. The example system includes a controller having an energy requirement circuit to determine an amount of energy for the machine to service the task in response to the requirement for the task. The controller also includes an energy distribution circuit to adaptively improve an energy delivery, of energy produced by the associated regenerative energy facility, between the tasks.

A transaction-enabling system including a controller is provided. The controller is configured to: access a distributed ledger comprising an aggregated data set; interpret an access request for the aggregated data set; and in response to the access request, provide a provable access to the aggregated data set. The provable access includes at least one of which parties have accessed the aggregated data set and how many parties have accessed the aggregated data set, the distributed ledger includes a block chain, and the aggregated data set includes one of a trade secret and proprietary information.

Permissioned blockchains with off-chain storage establish integrity and no-later-than date-of-existence for documents, leveraging records containing hash values of documents. When a document's integrity or date is challenged, a new hash value is compared with a record in the blockchain. Proving date-of-existence (via hash value in a publication and/or SMS) for the block containing the record establishes no-later-than date-of-existence for the document. Permissioning monetizes operations, enforcing rules for submission rights and content, thereby precluding problematic material (privacy, obscenity, malicious logic, copyright violations) that threatens long-term viability. Compact records and off-chain storage in a document corral (with quarantine capability) preserve document confidentiality and ease storage burdens for distributed blockchain copies. Using multiple hash values for each document hardens against preimage attacks with quantum computing. Daisy chaining records establishes that relationships existed among documents at registration. Self-addressed blockchain registration (SABRe) permits documents to self-identify their blockchain record address (block ID, index).