MODELLING THE DISAGGREGATED DEMAND FOR ELECTRICITY IN RESIDENTIAL BUILDINGS USING ARTIFICIAL NEURAL NETWORKS (DEEP LEARNING APPROACH)

Modelling the Disaggregated Demand for Electricity in Residential Buildings Using Artificial Neural Networks (Deep Learning Approach)

The paper addresses the issue of modelling the demand for electricity in residential buildings with the use of artificial neural networks (ANNs).Real data for six houses in Switzerland fitted with measurement meters was used in the research.Their original frequency of 1 Hz (one-second readings) was re-sampled to a frequency of 1/600 Hz, which corre

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Library mashups: behind the scenes

The article gift_wrapping examines the multiform phenomenon of mashup.The development and diffusion of tools able to integrate and combine data from different systems, creating then new apps and new services is typical of Web 2.0.The paper offers and overview of the technology useful in order to create aggregators, such as API (Application Programm

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