Smart Home Energy Management Supported by Cloud Computing

Joaquim Leitão, Paulo Gil, Bernardete Ribeiro, Alberto Cardoso

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


The current work studies optimal management of electrical appliances in smart homes. An appliance scheduling problem is addressed via optimisation approaches with the goal of minimising the overall energy bill over a week. Scheduling of electrical appliances must take into account non-controllable domestic demand, grid prices and local energy production by photovoltaic panels. Here, a preliminary cloud architecture is proposed to support smart home sensor data collection, storage, processing and scheduling computation. Optimal schedules achieve a balance between local energy production and grid prices, exploring periods of higher generation to attenuate non-controllable demands and favouring night periods (during which energy is cheaper) for controllable appliances operations.

Original languageEnglish
Title of host publicationProceedings of the 2019 5th Experiment at International Conference, 2019
EditorsAlberto Cardoso, Maria Teresa Restivo
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781728136370
Publication statusPublished - Jun 2019
Event5th Experiment at International Conference, 2019 - Funchal, Madeira, Portugal
Duration: 12 Jun 201914 Jun 2019


Conference5th Experiment at International Conference, 2019
CityFunchal, Madeira


  • Cloud Computing
  • Cyber-Physical Systems
  • Home Energy Management Systems
  • Mixed-Integer Programming
  • Smart Homes


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