Domestic electricity use: a high-resolution energy demand model
نویسندگان
چکیده
The pattern of electricity use in an individual domestic dwelling is highly dependent upon the activities of the occupants and their associated use of electrical appliances. This paper presents a high-resolution model of domestic electricity use, that is based upon a combination of patterns of active occupancy (i.e. when people are at home and awake), and daily activity profiles that characterise how people spend their time performing certain activities. One-minute resolution synthetic electricity demand data is created through the simulation of appliance use; the model covers all major appliances commonly found in the domestic environment. In order to validate the model, electricity demand was recorded over the period of a year within 22 dwellings in the East Midlands, UK. A thorough quantitative comparison is made between the synthetic and measured data sets, showing them to have similar statistical characteristics. A freely downloadable example of the model is made available and may be configured to the particular requirements of users or incorporated into other models.
منابع مشابه
Loughborough University Institutional Repository Domestic electricity use : a high - resolution energy demand model
The pattern of electricity use in an individual domestic dwelling is highly dependent upon the activities of the occupants and their associated use of electrical appliances. This paper presents a high-resolution model of domestic electricity use, that is based upon a combination of patterns of active occupancy (i.e. when people are at home and awake), and daily activity profiles that characteri...
متن کاملInstitutional Repository Domestic electricity use : a high - resolution energy demand model
The pattern of electricity use in an individual domestic dwelling is highly dependent upon the activities of the occupants and their associated use of electrical appliances. This paper presents a high-resolution model of domestic electricity use, that is based upon a combination of patterns of active occupancy (i.e. when people are at home and awake), and daily activity profiles that characteri...
متن کاملIran's Electrical Energy Demand Forecasting Using Meta-Heuristic Algorithms
This study aims to forecast Iran's electricity demand by using meta-heuristic algorithms, and based on economic and social indexes. To approach the goal, two strategies are considered. In the first strategy, genetic algorithm (GA), particle swarm optimization (PSO), and imperialist competitive algorithm (ICA) are used to determine equations of electricity demand based on economic and social ind...
متن کاملEconomic Factors affecting demand for gas in Iran
In this study the autoregressive distributed lag model and error correction model to estimate Hazard function is used during the years 1377-1394. The results show that in the short term and long term there is substitution between electricity and natural gas in the domestic sector. But the price elasticity of demand relative to the price of electricity is less than 5.0, this result indicates tha...
متن کاملA Two-Stage Chance-Constraint Stochastic Programming Model for Electricity Supply Chain Network Design
Development of every society is incumbent upon energy sector’s technological and economic effectiveness. The electricity industry is a growing and needs to have a better performance to effectively cover the demand. The industry requires a balance between cost and efficiency through careful design and planning. In this paper, a two-stage stochastic programming model is presented for the design o...
متن کامل