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Title	PS21196 - Bayesian Synthetic Population Algorithm Development, for National Buildings Model United Kingdom
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Country	United Kingdom
Language	English
Organization	UK SHARED BUSINESS SERVICES LIMITED
Published Date	11.03.2024
Awarded Date	19.01.2022
Overview	Contract Award's Details : PS21196 - Bayesian Synthetic Population Algorithm Development, for National Buildings Model UK SHARED BUSINESS SERVICES LIMITED PS21196 - Bayesian Synthetic Population Algorithm Development, for National Buildings Model *** THIS IS AN AWARD NOTICE, NOT A CALL FOR COMPETITION *** This procurement is being concluded following a mini competition under the RM6018 - Crown Commercial Services Research Marketplace DPS This Invitation to Tender aims to procure, on behalf of the BEIS Secretary of State, an implemented methodology for producing synthetic population sample data from multiple overlapping data sources, relating to non-domestic buildings' energy use in the UK. The BEIS National Buildings Model (NBM) makes use of disclosive property survey data to represent the diverse building population of the UK. While data of this type is richly detailed and necessary for building physics simulation, the sensitivity and relatively small sample sizes present a dual challenge. Data protection compliance requires that the stock datasets derived from surveys are not published, preventing external replication of BEIS analysis even once the NBM itself is published. Simultaneously, BEIS wishes to reconcile the weighted survey data with other trusted information that has been collected on the same population. These alternative data sources are diverse, from national aggregate statistics to meter-point data collected for most individual UK properties. We propose that a synthetic dataset can resolve both issues. Synthetic data generators are algorithms for condensing the important properties of a dataset into a set of cross-correlations (a modelled distribution of traits). From this, a new sample can be drawn which preserves the key relationships we wish to infer from the original data, while scrambling everything else. Applied to a single dataset, this can ensure that private information is not disclosed, while maintaining the format of a detailed survey. The synthetic data concept can be extended, producing a single generating algorithm from multiple otherwise incompatible datasets. The resulting samples would be a population of imaginary building records which are nonetheless collectively consistent with everything we (think we) know about the true population. This project will procure expert assistance in the creation of this generating algorithm. The scope will be limited to non-domestic buildings energy use, but the approach taken is expected to be eventually extended to cover domestic buildings (which have their own unique data inputs) and potentially other domains as well. Therefore, flexibility and modularisation are important factors in the implementation. The model will be developed and implemented in an appropriate programming language (Python 3 is preferred for compatibility with the NBM, but tenderers may make a case for alternatives, such as R, if they think it necessary). Development will be version controlled using Git. The contractor will therefore need expertise in both software development and statistical inference/machine learning. Bayesian procedures have featured heavily in the exploratory work conducted so far (see below). United Kingdom Contract value : 49,375.00 GBP Contractors : RED SCIENTIFIC LIMITED 07/12/2021 20/01/2022 31/03/2022 77983120 20/01/2022 UK SHARED BUSINESS SERVICES LIMITED Address : Polaris House, North Star Avenue SN21FL, SWINDON professionalservices@uksbs.co.uk United Kingdom United Kingdom Contract Awards United Kingdom ocds-b5fd17-ef3d8adc-7b82-475a-b713-4465b0cebb3a-496669-ps21196 07/12/2021 31/03/2022 49,375.00 GBP
NAICS	Power Nonferrous Metal (except Copper and Aluminum) Rolling Business All Other Professional Professional Electric Power Transmission Nonferrous Metal (except Copper and Aluminum) Rolling Automatic Environmental Control Manufacturing for Residential Other Professional Copper Rolling Copper Rolling Trust Other Aluminum Rolling Commercial Trusts All Other Professional Management Trusts Professional Funds
CPVS	Aggregates Analytical, scientific, mathematical or forecasting software development services Generators Control, safety, signalling and light equipment IT services: consulting, software development, Internet and support Lavatory seats, covers, bowls and cisterns Control, safety or signalling equipment for inland waterways Stocks Records Feasibility study, advisory service, analysis Research, testing and scientific technical simulator Document creation, drawing, imaging, scheduling and productivity software package Control, safety or signalling equipment for parking facilities Command, control, communication systems Document creation, drawing, imaging, scheduling and productivity software development services Control, safety or signalling equipment for port installations Surveying, hydrographic, oceanographic and hydrological instruments and appliances Command, control, communication and computer systems Pressure-reducing, control, check or safety valves Other services Analytical, scientific, mathematical or forecasting software package Keys Control, safety or signalling equipment for roads Control, safety or signalling equipment for airports Tools, locks, keys, hinges, fasteners, chain and springs Programming languages
UNSPSC	-
Regions	Europe Northern Europe
Sectors	Civil Works Building Automobiles and Auto Parts Non-Renewable Energy Supply Bridges and Tunnels Energy Postal and Courier Services Roads and Highways-Bridge Printing and Publishing Services Railways-Rail-Railroad Defence and Security Construction Energy-Power and Electrical Computer Hardwares and Consumables Building Material Marine
Contractor	RED SCIENTIFIC LIMITED
Contract Value	49,375.00 GBP
URL	Download Document
Share

Title
PS21196 - Bayesian Synthetic Population Algorithm Development, for National Buildings Model United Kingdom
Country
United Kingdom
Language
English
Organization
UK SHARED BUSINESS SERVICES LIMITED
Published Date
11.03.2024
Awarded Date
19.01.2022
Overview
Contract Award's Details : PS21196 - Bayesian Synthetic Population Algorithm Development, for National Buildings Model UK SHARED BUSINESS SERVICES LIMITED PS21196 - Bayesian Synthetic Population Algorithm Development, for National Buildings Model *** THIS IS AN AWARD NOTICE, NOT A CALL FOR COMPETITION *** This procurement is being concluded following a mini competition under the RM6018 - Crown Commercial Services Research Marketplace DPS This Invitation to Tender aims to procure, on behalf of the BEIS Secretary of State, an implemented methodology for producing synthetic population sample data from multiple overlapping data sources, relating to non-domestic buildings' energy use in the UK. The BEIS National Buildings Model (NBM) makes use of disclosive property survey data to represent the diverse building population of the UK. While data of this type is richly detailed and necessary for building physics simulation, the sensitivity and relatively small sample sizes present a dual challenge. Data protection compliance requires that the stock datasets derived from surveys are not published, preventing external replication of BEIS analysis even once the NBM itself is published. Simultaneously, BEIS wishes to reconcile the weighted survey data with other trusted information that has been collected on the same population. These alternative data sources are diverse, from national aggregate statistics to meter-point data collected for most individual UK properties. We propose that a synthetic dataset can resolve both issues. Synthetic data generators are algorithms for condensing the important properties of a dataset into a set of cross-correlations (a modelled distribution of traits). From this, a new sample can be drawn which preserves the key relationships we wish to infer from the original data, while scrambling everything else. Applied to a single dataset, this can ensure that private information is not disclosed, while maintaining the format of a detailed survey. The synthetic data concept can be extended, producing a single generating algorithm from multiple otherwise incompatible datasets. The resulting samples would be a population of imaginary building records which are nonetheless collectively consistent with everything we (think we) know about the true population. This project will procure expert assistance in the creation of this generating algorithm. The scope will be limited to non-domestic buildings energy use, but the approach taken is expected to be eventually extended to cover domestic buildings (which have their own unique data inputs) and potentially other domains as well. Therefore, flexibility and modularisation are important factors in the implementation. The model will be developed and implemented in an appropriate programming language (Python 3 is preferred for compatibility with the NBM, but tenderers may make a case for alternatives, such as R, if they think it necessary). Development will be version controlled using Git. The contractor will therefore need expertise in both software development and statistical inference/machine learning. Bayesian procedures have featured heavily in the exploratory work conducted so far (see below). United Kingdom Contract value : 49,375.00 GBP Contractors : RED SCIENTIFIC LIMITED 07/12/2021 20/01/2022 31/03/2022 77983120 20/01/2022 UK SHARED BUSINESS SERVICES LIMITED Address : Polaris House, North Star Avenue SN21FL, SWINDON professionalservices@uksbs.co.uk United Kingdom United Kingdom Contract Awards United Kingdom ocds-b5fd17-ef3d8adc-7b82-475a-b713-4465b0cebb3a-496669-ps21196 07/12/2021 31/03/2022 49,375.00 GBP
NAICS
Power Nonferrous Metal (except Copper and Aluminum) Rolling Business All Other Professional Professional Electric Power Transmission Nonferrous Metal (except Copper and Aluminum) Rolling Automatic Environmental Control Manufacturing for Residential Other Professional Copper Rolling Copper Rolling Trust Other Aluminum Rolling Commercial Trusts All Other Professional Management Trusts Professional Funds
CPVS
Aggregates Analytical, scientific, mathematical or forecasting software development services Generators Control, safety, signalling and light equipment IT services: consulting, software development, Internet and support Lavatory seats, covers, bowls and cisterns Control, safety or signalling equipment for inland waterways Stocks Records Feasibility study, advisory service, analysis Research, testing and scientific technical simulator Document creation, drawing, imaging, scheduling and productivity software package Control, safety or signalling equipment for parking facilities Command, control, communication systems Document creation, drawing, imaging, scheduling and productivity software development services Control, safety or signalling equipment for port installations Surveying, hydrographic, oceanographic and hydrological instruments and appliances Command, control, communication and computer systems Pressure-reducing, control, check or safety valves Other services Analytical, scientific, mathematical or forecasting software package Keys Control, safety or signalling equipment for roads Control, safety or signalling equipment for airports Tools, locks, keys, hinges, fasteners, chain and springs Programming languages
UNSPSC
-
Regions
Europe Northern Europe
Sectors
Civil Works Building Automobiles and Auto Parts Non-Renewable Energy Supply Bridges and Tunnels Energy Postal and Courier Services Roads and Highways-Bridge Printing and Publishing Services Railways-Rail-Railroad Defence and Security Construction Energy-Power and Electrical Computer Hardwares and Consumables Building Material Marine
Contractor
RED SCIENTIFIC LIMITED
Contract Value
49,375.00 GBP
URL
Download Document
Share