Abstract: This document describes techniques, apparatuses, and systems for a blockchain-based transactive energy system. A blockchain-based transactive energy system receives a bid associated with a supply/demand curve of a utility from a transactive node through a smart contract. A universal identifier associated with the bid may be verified by consensus nodes of the blockchain-based transactive energy system to determine a verified set of bids. The universal identifier or other data associated with the bid may be stored in an immutable database provided by a blockchain. Based on the verified set of bids, a market-clearing price of the utility may be determined and used to satisfy the bid of the transactive node according to an actual production or consumption of the utility by the transactive node. The actual production or consumption of the utility may be stored in the immutable database for future audits or verification.

Abstract: Described herein are methods, systems, and storage media having computer-processable instructions for cross-referencing in a computationally efficient manner different data sets each having pluralities of n-dimensional identifiers of physical assets. The disclosed cross-referencing approach can be used to determine relationships between different assets and their respective asset identifier strings. The relationships can be established based on user-selected heuristics. For example, at least two asset identifier strings can be compared, and user-defined heuristics can be applied to determine whether “a match” exists. A match can be defined according to the particular heuristic. In one instance, the comparison and heuristic can be applied to determine if two different asset identifier strings refer to a single physical asset.

Abstract: Described herein are methods, systems, and storage media having computer-processable instructions for assigning an n-dimensional asset identifier to an asset (n?3). The identifier can be generated by determining a position of the asset in n dimensions, wherein the position is based at least on the center of mass of the asset's geometry. Extents are determined for each of the n dimensions, wherein each extent is measured from the center of mass to a surface of an n-dimensional bounding polytope containing the asset. The position and the extents of the asset can then be encoded or embedded into a single, non-opaque, code string. The position and the extent information are intrinsic to the string.

Abstract: Described herein are methods, systems, and storage media having computer-processable instructions for cross-referencing in a computationally efficient manner different data sets each having pluralities of n-dimensional identifiers of physical assets. The disclosed cross-referencing approach can be used to determine relationships between different assets and their respective asset identifier strings. The relationships can be established based on user-selected heuristics. For example, at least two asset identifier strings can be compared, and user-defined heuristics can be applied to determine whether “a match” exists. A match can be defined according to the particular heuristic. In one instance, the comparison and heuristic can be applied to determine if two different asset identifier strings refer to a single physical asset.

Abstract: Described herein are methods, systems, and storage media having computer-processable instructions for assigning an n-dimensional asset identifier to an asset (n?3). The identifier can be generated by determining a position of the asset in n dimensions, wherein the position is based at least on the center of mass of the asset's geometry. Extents are determined for each of the n dimensions, wherein each extent is measured from the center of mass to a surface of an n-dimensional bounding polytope containing the asset. The position and the extents of the asset can then be encoded or embedded into a single, non-opaque, code string. The position and the extent information are intrinsic to the string.