ISO
ISO
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Technical committeeTypeAcronymISO/IEC TR 20547-1:2020CommitteePublished year2020KeywordsDescription
This document describes the framework of the big data reference architecture and the process for how a user of the document can apply it to their particular problem domain.
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Technical committeeTypeAcronymISO/IEC TR 15067-3-8:2020CommitteePublished year2020KeywordsDescription
ISO/IEC TR 15067-3-8:2020 (E), which is a Technical Report, provides a conceptual framework for developing architectures and designing solutions related to transactive energy (TE). Transactive energy allows electricity generated locally by consumers using wind, solar, storage, etc., at homes or buildings to be sold into a competitive market. This document provides guidance for enhancing interoperability among distributed energy resources involved in energy management systems at homes and buildings. It addresses gaps identified as problematic for the industry by providing definitions of terms, architectural principles and guidelines, and other descriptive elements that present a common ground for all interested parties to discuss and advance TE.
This document builds upon ISO/IEC 15067-3, with technology to accommodate a market for buying and selling electricity generated centrally or locally by consumers. The energy management agent (EMA) specified in ISO/IEC 15067-3 can represent the customer as a participant in TE. Transactive energy is important for achieving electric grid stability as power from renewable sources such as wind and solar fluctuates with time and weather.Technology -
Technical committeeTypeAcronymISO/IEC TR 15067-3-7:2020CommitteePublished year2020KeywordsDescription
ISO/IEC TR 15067-3-7:2020 (E), which is a Technical Report, explains the organization and structure of the transactive energy systems research, development, and deployment roadmap.
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Technical committeeTypeAcronymISO/IEC TR 15067-3-2:2016CommitteePublished year2016Description
ISO/IEC TR 15067-3-2:2016(E) This Technical Report is based on work done by the GridWise Architecture Council. It describes a framework for identifying and discussing interoperability issues to facilitate the integration of entities that interact with electric power systems.
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Technical committeeTypeAcronymISO/IEC TR 15067-2:1997CommitteePublished year1997DescriptionTechnology
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Technical committeeTypeAcronymISO/IEC TR 15067-2CommitteePublished year1997DescriptionTechnology
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Technical committeeTypeAcronymISO/IEC TR 14543-4:2002CommitteePublished year2002KeywordsDescription
This technical report explores the similarities and differences between home and building control systems in an environment where both home and building control interact, namely, a mixed-use residential/commercial building. A logical model for linking building and home control systems is specified. Models showing the organization of application domains, such as energy management and lighting, are included. The option of managing an application domain with a single application controller versus a Fully Distributed System is considered. Methods for overall building management are presented
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Technical committeeTypeAcronymISO/IEC Guide 98-3CommitteePublished year2008KeywordsDescription
ISO/IEC Guide 98-3:2008 is a reissue of the 1995 version of the Guide to the Expression of Uncertainty in Measurement (GUM), with minor corrections. This Guide establishes general rules for evaluating and expressing uncertainty in measurement that can be followed at various levels of accuracy and in many fields — from the shop floor to fundamental research. The principles of this Guide are intended to be applicable to a broad spectrum of measurements, including those required for:
maintaining quality control and quality assurance in production;
complying with and enforcing laws and regulations;
conducting basic research, and applied research and development, in science and engineering;
calibrating standards and instruments and performing tests throughout a national measurement system in order to achieve traceability to national standards;
developing, maintaining, and comparing international and national physical reference standards, including reference materials.Technology -
Technical committeeTypeAcronymISO/IEC Guide 98-1CommitteePublished year1998KeywordsDescription
ISO/IEC Guide 98-1:2009 provides a brief introduction to the “Guide to the expression of uncertainty in measurement” (GUM) in order to indicate the relevance of that fundamental guide and promote its use. It also outlines documents related to the GUM that are intended to extend the application of that guide to broader categories and fields of practical problems.
ISO/IEC Guide 98-1:2009 addresses measurement science at a level that is suitable for those readers who have received training at least to the second year of a science- or engineering-based degree course containing some teaching of probability theory and statistics. It also considers various concepts used in measurement science. In particular, it covers the need to characterize the quality of a measurement through appropriate statements of measurement uncertainty. This introductory document also outlines the recent evolution of thinking regarding measurement uncertainty.
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Technical committeeTypeAcronymISO/IEC GUIDE 98-3:2008/SUPPL 2:2011CommitteePublished year2011KeywordsDescription
ISO/IEC Guide 98-3:2008/Suppl.2:2011 is concerned with measurement models having any number of input quantities and any number of output quantities. The quantities involved might be real or complex. Two approaches are considered for treating such models. The first approach is a generalization of the GUM uncertainty framework. The second is a Monte Carlo method as an implementation of the propagation of distributions. Appropriate use of the Monte Carol method would be expected to provide valid results when the applicability of the GUM uncertainty framework is questionable.
For a prescribed coverage probability, ISO/IEC Guide 98-3:2008/Suppl.2:2011 can be used to provide a coverage region for the output quantities of a multivariate model, the counterpart of a coverage interval for a single scalar output quantiy. The provision of coverage regions includes those taking the form of a hyper-ellipsoid or a hyper-rectangle. These coverage regions are produced from the results of the two approaches described here. A procedure for providing an approximation to the smallest coverage region, obtained from results provided by the Monte Carol method, is also given. Detailed examples to illustrate the guidance are provided.
Technology