READ ME This text describes the data presented in the paper: ''Optimising Building-to-Building and Buildings-for-Grid Services in Residential Microgrids: A Robust Rolling Horizon Approach'' ======================== Data included hereby are the following: 1) Starting time and ending time of building appliances 2) Duration of tasks and the power consumed by each one 3) Parameters of ESS, CHP, PV, HP 4) Electricicty cost at the first time interval 5) Outside temperature and illuminance leve at the first time interval 6) PV output at the first time interval 7) Other parameters -------------------------- Explain the relationship between multiple data sets, if required: N/A -------------------------- Key words used to describe the data: Active building (AB), robust rolling horizon(RRH), building-to-building (B2B), building-for-Grid (B4G). ========================== Methodological information ========================== A brief method description – what the data is, how and why it was collected or created, and how it was processed: The data represents the timing of appliances for 10 UK type houses in the paper ''Optimising Building-to-Building and Buildings-for-Grid Services in Residential Microgrids: A Robust Rolling Horizon Approach'' These data are utilized in a mixed integer linear programing (MILP) model for the aforementioned paper and simulated in General Algebraic Modeling System (GAMS) software package (https://www.gams.com/). Data provided in this data repository are directly imported to the mixed integer linear programing (MILP) Model outputs produced by the software General Algebraic Modeling System (GAMS). -------------------------- Instruments, hardware and software used: Software: General Algebraic Modeling System (GAMS) (https://www.gams.com/) -------------------------- Date(s) of data collection: 2020 -------------------------- Geographic coverage of data: N/A -------------------------- Data validation (how was the data checked, proofed and cleaned): Data provided in this data repository are directly imported to the mixed integer linear programing (MILP) Model outputs produced by the software General Algebraic Modeling System (GAMS). -------------------------- Overview of secondary data, if used: N/A ========================= Data-specific information ========================= Definitions of names, labels, acronyms or specialist terminology uses for variables, records and their values: Abbreviations: PV Photovoltaic CHP Combined Heat and Power ESS Energy Storage System HP Heat Pump MILP Mixed Integer Linear Programing -------------------------- Explanation of weighting and grossing variables: N/A -------------------------- Outline any missing data: N/A ======= Data References a) D. Zhang, S. Liu, and L. G. Papageorgiou, “Fair cost distribution amongsmart homes with microgrid,”Energy Conversion and Management,vol. 80, pp. 498–508, 2014 b) Chartered Institution of Building Services Engineers. (May 2020)Test Reference Year for Newcastle upon Tyne. [Online]. Available:https://www.cibse.org/weatherdata ======= Contact ======= Please contact rdm@ncl.ac.uk for further information