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Author (up) Salgado, M.; Negrete-Pincetic, M.; Lorca, A.; Olivares, D. doi  openurl
  Title A Low-complexity Home Energy Management System for Electricity Demand Side Aggregators Type
  Year 2021 Publication Applied Energy Abbreviated Journal Appl. Energy  
  Volume 2021 Issue 294 Pages 116985  
  Keywords Home energy management system; Demand response; Load following; Demand aggregator  
  Abstract A low-complexity decision model for a Home Energy Management System is proposed to follow demand trajectory sets received from a Demand Side Response aggregator. This model is designed to reduce its computational complexity and being solved by low performance processors using available Single-Board Computers as a proof of concept. To decrease the computational complexity is proposed a two-stage model, where the first stage evaluates the hourly appliance scheduling using a relaxed set of restrictions, and the second stage evaluates a reduced set of appliances in a intra-hourly interval with a detailed characterization of the scheduled appliance properties. Simulations results show the effectiveness of the proposed algorithm to follow trajectories for different sets of home appliances and operational conditions. For the studied cases, the model presents deviations in the demand for the 3.2% of the cases in the first-stage and a 12% for the second-stage model. Results show that the proposed model can schedule available appliances according to the demand aggregator requirements in a limited solving time with diverse hardware.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0306-2619 ISBN Medium  
  Area Expedition Conference  
  Notes Approved  
  Call Number UAI @ alexi.delcanto @ Serial 1400  
Permanent link to this record
 

 
Author (up) Salgado, M.; Negrete-Pincetic, M.; Lorca, A.; Olivares, D. doi  openurl
  Title A low-complexity decision model for home energy management systems Type
  Year 2021 Publication Applied Energy Abbreviated Journal Appl. Energy  
  Volume 294 Issue Pages 116985  
  Keywords Home energy management system; Demand response; Load following; Demand aggregator  
  Abstract A low-complexity decision model for a Home Energy Management System is proposed to follow demand trajectory sets received from a Demand Side Response aggregator. This model is designed to reduce its computational complexity and being solved by low performance processors using available Single-Board Computers as a proof of concept. To decrease the computational complexity is proposed a two-stage model, where the first stage evaluates the hourly appliance scheduling using a relaxed set of restrictions, and the second stage evaluates a reduced set of appliances in a intra-hourly interval with a detailed characterization of the scheduled appliance properties. Simulations results show the effectiveness of the proposed algorithm to follow trajectories for different sets of home appliances and operational conditions. For the studied cases, the model presents deviations in the demand for the 3.2% of the cases in the first-stage and a 12% for the second-stage model. Results show that the proposed model can schedule available appliances according to the demand aggregator requirements in a limited solving time with diverse hardware.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0306-2619 ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000663303000007 Approved  
  Call Number UAI @ alexi.delcanto @ Serial 1427  
Permanent link to this record
 

 
Author (up) Uranga, R.M.; Millan, C.; Barahona, M.J.; Recabal, A.; Salgado, M.; Martinez, F.; Ordenes, P.; Elizondo-Vega, R.; Sepluveda, F.; Uribe, E.; Garcia-Robles, M.D. pdf  doi
openurl 
  Title Adenovirus-mediated suppression of hypothalamic glucokinase affects feeding behavior Type
  Year 2017 Publication Scientific Reports Abbreviated Journal Sci Rep  
  Volume 7 Issue Pages 13 pp  
  Keywords  
  Abstract Glucokinase (GK), the hexokinase involved in glucosensing in pancreatic beta-cells, is also expressed in arcuate nucleus (AN) neurons and hypothalamic tanycytes, the cells that surround the basal third ventricle (3V). Several lines of evidence suggest that tanycytes may be involved in the regulation of energy homeostasis. Tanycytes have extended cell processes that contact the feeding-regulating neurons in the AN, particularly, agouti-related protein (AgRP), neuropeptide Y (NPY), cocaine-and amphetamine-regulated transcript (CART) and proopiomelanocortin (POMC) neurons. In this study, we developed an adenovirus expressing GK shRNA to inhibit GK expression in vivo. When injected into the 3V of rats, this adenovirus preferentially transduced tanycytes. qRT-PCR and Western blot assays confirmed GK mRNA and protein levels were lower in GK knockdown animals compared to the controls. In response to an intracerebroventricular glucose injection, the mRNA levels of anorexigenic POMC and CART and orexigenic AgRP and NPY neuropeptides were altered in GK knockdown animals. Similarly, food intake, meal duration, frequency of eating events and the cumulative eating time were increased, whereas the intervals between meals were decreased in GK knockdown rats, suggesting a decrease in satiety. Thus, GK expression in the ventricular cells appears to play an important role in feeding behavior.  
  Address [Maria Uranga, Romina; Millan, Carola; Jose Barahona, Maria; Recabal, Antonia; Salgado, Magdiel; Martinez, Fernando; Ordenes, Patricio; Elizondo-Vega, Roberto; Sepluveda, Fernando; de los Angeles Garcia-Robles, Maria] Univ Concepcion, Dept Biol Celular, Concepcion, Chile, Email: mgarcia@udec.cl  
  Corporate Author Thesis  
  Publisher Nature Publishing Group Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2045-2322 ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000403413700059 Approved  
  Call Number UAI @ eduardo.moreno @ Serial 740  
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