This paper presents a methodology to forecast the hourly and daily consumption in households assisted by cyber physical systems. The methodology was validated using a database of consumption of a set of 93 domestic consumers. Forecast tools used were based on Fast Fourier Series and Generalized Reduced Gradient. Both tools were tested and their forecast results were compared. The paper shows that both tools allow obtaining satisfactory results for energy consumption forecasting. (C) 2016 The Authors. Published by Elsevier Ltd.info:eu-repo/semantics/publishedVersio
This thesis was submitted for the award of Doctor of Philosophy and was awarded by Brunel University...
AbstractUnderstanding the hourly electricity profile and the electricity consumption by each applian...
New smart grid technologies, such as solar panels and electric vehicles, are increasing in popularit...
This paper presents a methodology to forecast the hourly and daily consumption in households assiste...
This paper presents a methodology to forecast the hourly and daily consumption in households. The me...
yesDetailed electricity load profile for domestic building is an important requirement for the accur...
It is important to understand and forecast a typical or a particularly household daily consumption i...
yesThis paper presents a method of generating realistic electricity load profile data for the UK dom...
A data set comprising of hourly electrical energy consumption profile was built, for an entire year,...
International audienceIn this paper, we analyze a public dataset of electricity consumption collecte...
A massive amount of electricity usage may be accessed on an everyday and hourly basis due to the adv...
AbstractThe nature of domestic electricity load is highly dependent on the demand of occupants. Dome...
AbstractIt is important to understand and forecast a typical or a particularly household daily consu...
International audienceAll stakeholders in the energy field acknowledge a growing need for higher con...
During the last few decades, citizens around western countries became more and more sensible to ener...
This thesis was submitted for the award of Doctor of Philosophy and was awarded by Brunel University...
AbstractUnderstanding the hourly electricity profile and the electricity consumption by each applian...
New smart grid technologies, such as solar panels and electric vehicles, are increasing in popularit...
This paper presents a methodology to forecast the hourly and daily consumption in households assiste...
This paper presents a methodology to forecast the hourly and daily consumption in households. The me...
yesDetailed electricity load profile for domestic building is an important requirement for the accur...
It is important to understand and forecast a typical or a particularly household daily consumption i...
yesThis paper presents a method of generating realistic electricity load profile data for the UK dom...
A data set comprising of hourly electrical energy consumption profile was built, for an entire year,...
International audienceIn this paper, we analyze a public dataset of electricity consumption collecte...
A massive amount of electricity usage may be accessed on an everyday and hourly basis due to the adv...
AbstractThe nature of domestic electricity load is highly dependent on the demand of occupants. Dome...
AbstractIt is important to understand and forecast a typical or a particularly household daily consu...
International audienceAll stakeholders in the energy field acknowledge a growing need for higher con...
During the last few decades, citizens around western countries became more and more sensible to ener...
This thesis was submitted for the award of Doctor of Philosophy and was awarded by Brunel University...
AbstractUnderstanding the hourly electricity profile and the electricity consumption by each applian...
New smart grid technologies, such as solar panels and electric vehicles, are increasing in popularit...