Validation of probabilistic methodology for generating actual inhabitants' behavior schedules for accurate prediction of maximum energy requirements

J Tanimoto, A Hagishima, H Sagara - Energy and Buildings, 2008 - Elsevier
A data set of myriad and time-varying inhabitant-behavior schedules with a 15min time
resolution, generated by the authors in a previous study, is validated through a comparison …

Validation of methodology for utility demand prediction considering actual variations in inhabitant behaviour schedules

J Tanimoto, A Hagishima, H Sagara - Journal of Building …, 2008 - Taylor & Francis
A data set of myriad and time-varying inhabitant behaviour schedules with a 15-min time
resolution, generated by the authors in a previous study, is validated through a comparison …

A unified probabilistic model for predicting occupancy, domestic hot water use and electricity use in residential buildings

J Rouleau, AP Ramallo-González, L Gosselin… - Energy and …, 2019 - Elsevier
A novel strategy that combines separate probabilistic models developed by other
researchers into a unified model for generating schedules of active occupancy, domestic hot …

Total utility demand prediction system for dwellings based on stochastic processes of actual inhabitants

J Tanimoto, A Hagishima - Journal of Building Performance …, 2010 - Taylor & Francis
This article describes a new methodology to calculate the likely utility load profiles (energy
such as power, natural gas, space heating and cooling, and other thermal requirements, as …

Stochastic residential occupancy schedules based on the American Time-Use Survey

D Malekpour Koupaei, KS Cetin… - Science and Technology …, 2022 - Taylor & Francis
The energy performance of residential buildings is closely correlated with occupants'
behavior and their schedules. Moreover, the energy consumption of heating, ventilation, and …

A method for modeling household occupant behavior to simulate residential energy consumption

BJ Johnson, MR Starke, OA Abdelaziz, RK Jackson… - ISGT …, 2014 - ieeexplore.ieee.org
This paper presents a statistical method for modeling the behavior of household occupants
to estimate residential energy consumption. Using data gathered by the US Census Bureau …

[HTML][HTML] Accuracy of hourly energy predictions for demand flexibility applications

J Granderson, S Fernandes, E Crowe, M Sharma… - Energy and …, 2023 - Elsevier
Decarbonization goals in the United States electricity sector are increasing the levels of
renewable energy generation in the electricity supply system, and are driving increased …

Simulating residential demand response: Improving socio-technical assumptions in activity-based models of energy demand

E McKenna, S Higginson, P Grunewald, SJ Darby - Energy Efficiency, 2018 - Springer
Demand response is receiving increasing interest as a new form of flexibility within low-
carbon power systems. Energy models are an important tool to assess the potential …

Context-specific urban occupancy modeling using location-based services data

G Happle, JA Fonseca, A Schlueter - Building and Environment, 2020 - Elsevier
Energy-related occupant behavior is a major source of uncertainty in building and urban
energy performance simulations. Standardized assumptions, published by ASHRAE and …

Modeling occupancy-driven building loads for large and diversified building stocks through the use of parametric schedules

C Bianchi, L Zhang, D Goldwasser, A Parker, H Horsey - Applied Energy, 2020 - Elsevier
Building energy modeling provides a fundamental tool to evaluate the potential for energy
efficiency to contribute to reducing world energy consumption and global emissions …