{"id":23,"date":"2018-10-11T14:47:25","date_gmt":"2018-10-11T14:47:25","guid":{"rendered":"http:\/\/www.gecad.isep.ipp.pt\/COLORS\/?page_id=23"},"modified":"2022-07-18T09:24:32","modified_gmt":"2022-07-18T09:24:32","slug":"documents","status":"publish","type":"page","link":"https:\/\/www.gecad.isep.ipp.pt\/COLORS\/documents\/","title":{"rendered":"PUBLICATIONS"},"content":{"rendered":"<p><strong>COLORS White book, July 2022:<\/strong><\/p>\n<ul>\n<li><a href=\"https:\/\/www.gecad.isep.ipp.pt\/COLORS\/wp-content\/uploads\/2022\/06\/COLORS-White-Book.pdf\" target=\"_blank\" rel=\"noopener\">File download<\/a><\/li>\n<\/ul>\n<p><strong>Books:<\/strong><\/p>\n<ul>\n<li>Vale, Z., Gomes, L., Faria, P., and Ramos, C. (2021) \u201cIntelligent Energy-Oriented Home,\u201d in Artificial Intelligence to Solve Pervasive Internet of Things Issues, Elsevier, 2021, pp. 269\u2013289. <a href=\"https:\/\/doi.org\/10.1016\/B978-0-12-818576-6.00014-9\">doi.org\/10.1016\/B978-0-12-818576-6.00014-9<\/a><\/li>\n<li>Faria P., Vale Z. (2020) \u201cDistributed Energy Resources Management 2018\u201d. In: Energies (Vol. 12). <a href=\"https:\/\/www.mdpi.com\/books\/pdfview\/book\/1976\">doi.org\/10.3390\/books978-3-03928-171-8<\/a><\/li>\n<\/ul>\n<p><strong>Scientific Journals:<\/strong><\/p>\n<ul>\n<li>Silva, C., Faria, P., Fernandes, A.,and Vale, Z., \u201cClustering distributed Energy Storage units for the aggregation of optimized local solar energy,\u201d Energy Reports, vol. 8, pp. 405\u2013410, Jun. 2022. <a href=\"https:\/\/doi.org\/10.1016\/j.egyr.2022.01.043\">doi.org\/10.1016\/j.egyr.2022.01.043<\/a><\/li>\n<li>Faria P., and Vale, Z., \u201cApplication of distinct demand response program during the ramping and sustained response period,\u201d Energy Reports, vol. 8, pp. 411\u2013416, Jun. 2022. <a href=\"https:\/\/doi.org\/10.1016\/j.egyr.2022.01.044\">doi.org\/10.1016\/j.egyr.2022.01.044<\/a><\/li>\n<li>Faria, P., Lezama, F., Vale, Z.\u00a0et al.\u00a0A methodology for energy key performance indicators analysis.\u00a0Energy Inform\u00a04,\u00a06 (2021). <a href=\"https:\/\/doi.org\/10.1186\/s42162-021-00140-0\">https:\/\/doi.org\/10.1186\/s42162-021-00140-0<\/a><\/li>\n<li>Pedro Faria, Zita Vale, Distributed Energy Resources Scheduling with Demand Response Complex Contract, Journal of Modern Power Systems and Clean Energy, Page(s): 1 \u2013 13, 10 December 2020. <a href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?arnumber=9290333\">doi.org\/35833\/MPCE.2020.000317<\/a><\/li>\n<li>Pedro Fraria, Pierfrancesco Corsi, Zita Vale, Online Estimation and Use of Price Elasticity of Demand for Shifting Loads Through Real-Time Pricing, Energy Reports, Volume 6, Supplement 8, December 2020, Pages 93-98.\u00a0<a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S2352484720317182\">doi.org\/1016\/j.egyr.2020.12.017<\/a><\/li>\n<li>Pierfrancesco Corsi, Pedro Faria, Zita Vale, Effects of elasticity parameter definition for real-time pricing remuneration considering different user types, Energy Reports, Volume 6, Supplement 1, 2020, Pages 127-132, ISSN 2352-4847.\u00a0<a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S2352484719306249\">doi.org\/10.1016\/j.egyr.2019.08.030<\/a><\/li>\n<li>Khorram, M., aria, P., Abrishambaf, O., and Vale, Z.,\u00a0Air conditioner consumption optimization in an office building considering user comfort, Energy Reports, Volume 6, Supplement 1, 2020, Pages 120-126, ISSN 2352-4847.<a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S2352484719306201\"> doi.org\/10.1016\/j.egyr.2019.08.029<\/a><\/li>\n<li>Abrishambaf, O.; Faria, P.; Vale, Z. Ramping of Demand Response Event with Deploying Distinct Programs by an Aggregator.\u00a0<em>Energies<\/em>\u00a02020,\u00a0<em>13<\/em>, 1389.<a href=\"https:\/\/doi.org\/10.3390\/en13061389\"> doi.org\/10.3390\/en13061389<\/a><\/li>\n<li>Khorram, M., Faria, P., Abrishambaf, O., and Vale, Z. (2020). \u201cConsumption Optimization in an Office Building Considering Flexible Loads and User Comfort\u201d. In: Energy Reports, 1\u201320.\u00a0<a href=\"https:\/\/doi.org\/10.3390\/s20030593\">doi.org\/10.3390\/s20030593<\/a><\/li>\n<\/ul>\n<p>I<strong>nternational Conferences:<\/strong><\/p>\n<ul>\n<li>Silva, C., Faria P., and Vale, Z., &#8220;Finding the Trustworthy Consumers for Demand Response Events by Dealing With Uncertainty,&#8221; 2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC \/ I&amp;CPS Europe), 2021, pp. 1-6, doi.org\/<a href=\"https:\/\/doi.org\/10.1109\/EEEIC\/ICPSEurope51590.2021.9584667\">10.1109\/EEEIC\/ICPSEurope51590.2021.9584667<\/a><\/li>\n<li>Fernando Lezama, Ricardo Faia, Omid Abrishambaf, Pedro Faria, Zita Vale, Large-scale optimization of households with photovoltaic-battery system and demand response, IFAC \u2013 International Federation of Automatic Control, 11-17 July 2020, Germany (online).\u00a0<a href=\"https:\/\/doi.org\/10.1016\/j.ifacol.2020.12.1818\">doi.org\/10.1016\/j.ifacol.2020.12.1818<\/a><\/li>\n<li>C\u00e1tia Silva, Pedro Faria, Zita Vale, A Consumer Trustworthiness Rate for Participation in Demand Response Programs, IFAC \u2013 International Federation of Automatic Control, 11-17 July 2020, Germany (online).\u00a0<a href=\"https:\/\/doi.org\/10.1016\/j.ifacol.2020.12.1825\">doi.org\/10.1016\/j.ifacol.2020.12.1825<\/a><\/li>\n<li>D\u00e9bora de S\u00e3o Jos\u00e9, Pedro Faria, C\u00e1tia Silva, Zita Vale, Key Performance Indicators to Support the Participation in Demand Response Programs: A Testing Framework for End Users, IFAC \u2013 International Federation of Automatic Control, 11-17 July 2020, Germany (online).\u00a0<a href=\"https:\/\/doi.org\/10.1016\/j.ifacol.2020.12.1826\">doi.org\/10.1016\/j.ifacol.2020.12.1826<\/a><\/li>\n<li>D\u00e9bora de S\u00e3o Jos\u00e9, Pedro Faria, C\u00e1tia Silva, Zita Vale, KPI for Managing and Controlling a Demand Response System: A Testing Framework for End Users, EEM2020 \u2013 International Conference on the European Energy Market, 16th \u2013 18th September, Stockholm (online).\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/document\/9221965\">doi.org\/1109\/EEM49802.2020.9221965<\/a><\/li>\n<li>C\u00e1tia Silva, Pedro Faria, Zita Vale, Rating the Participation of Electricity Consumers in Demand Response Events, EEM2020 \u2013 International Conference on the European, Energy Market, 16th \u2013 18th September, Stockholm (online).\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/document\/9221907\">doi.org\/1109\/EEM49802.2020.9221907<\/a><\/li>\n<li>Mahsa Khorram, Modar Zheiry, Pedro Faria, Zita Vale, Energy Consumption Management in Buildings in the Context of Voluntary and Mandatory Demand, Response Programs in Smart Grids, 2020 IEEE PES Innovative Smart Grid Technologies, Europe (ISGT-Europe), October 26-28, 2020, Online.\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/document\/9248750\">doi.org\/1109\/ISGT-Europe47291.2020.9248750<\/a><\/li>\n<li>Silva C., Faria P., Vale Z. (2020) \u201cStudy of Multi-Tariff Influence on the Distributed Generation Remuneration\u201d. In: Herrera-Viedma E., Vale Z., Nielsen P., Martin Del Rey A., Casado Vara R. (eds) Distributed Computing and Artificial Intelligence, 16th International Conference, Special Sessions. DCAI 2019. Advances in Intelligent Systems and Computing, vol 1004. Springer, Cham.\u00a0<a href=\"https:\/\/doi.org\/10.1007\/978-3-030-23946-6_2\">doi.org\/10.1007\/978-3-030-23946-6_2<\/a><\/li>\n<li>Khorram M., Faria P., Vale Z. (2020) \u201cLighting Consumption Optimization in a SCADA Model of Office Building Considering User Comfort Level\u201d. In: Herrera-Viedma E., Vale Z., Nielsen P., Martin Del Rey A., Casado Vara R. (eds) Distributed Computing and Artificial Intelligence, 16th International Conference, Special Sessions. DCAI 2019. Advances in Intelligent Systems and Computing, vol 1004. Springer, Cham.\u00a0<a href=\"https:\/\/doi.org\/10.1007\/978-3-030-23946-6_3\">doi.org\/10.1007\/978-3-030-23946-6_3<\/a><\/li>\n<li>Pierfrancesco Corsi, Pedro Faria, Zita Vale, Elasticity Parameter Definition and Analysis for Real-Time Pricing Remuneration Basing on Different Users Cases, SEST 2019 \u2013 2nd International Conference on Smart Energy Systems and Technologies, Porto, Portugal, 9-11 September 2019.<a href=\"https:\/\/doi.org\/10.1109\/SEST.2019.8849109\">doi.org\/1109\/SEST.2019.8849109<\/a><\/li>\n<li>Mahsa Khorram, Pedro Faria, Zita Vale, Optimizing Lighting in an Office for Demand Response Participation Considering User Preferences, SEST 2019 \u2013 Smart Energy Systems and Technologies, Porto, Portugal, 9-11 September 2019.<a href=\"https:\/\/doi.org\/10.1109\/SEST.2019.8849098\">\u00a0doi.org\/1109\/SEST.2019.8849098<\/a><\/li>\n<li>Khorram, P. Faria, O. Abrishambaf, Z. Vale and J. Soares, \u201cCO2 Concentration Forecasting in an Office Using Artificial Neural Network,\u201d\u00a0<em>2019 20th International Conference on Intelligent System Application to Power Systems (ISAP)<\/em>, New Delhi, India, 2019, pp. 1-6.\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/document\/9065944\">doi.org\/10.1109\/ISAP48318.2019.9065944<\/a><\/li>\n<li>Khorram, M. Zheiry, P. Faria and Z. Vale, \u201cAir Conditioning Consumption Optimization Based on CO2 Concentration Level,\u201d\u00a0<em>2019 20th International Conference on Intelligent System Application to Power Systems (ISAP)<\/em>, New Delhi, India, 2019, pp. 1-5.\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/document\/9065967\">doi.org\/10.1109\/ISAP48318.2019.9065967<\/a><\/li>\n<li>Silva C., Faria P. and Vale Z., \u201cDefining the Optimal Number of Demand Response Programs and Tariffs Using Clustering Methods,\u201d\u00a0<em>2019 20th International Conference on Intelligent System Application to Power Systems (ISAP)<\/em>, New Delhi, India, 2019, pp. 1-6.\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/abstract\/document\/9065957\">doi.org\/10.1109\/ISAP48318.2019.9065957<\/a><\/li>\n<li>Jozi A., Ramos D., Gomes L., Faria P., Pinto T., Vale Z. (2019) \u201cDemonstration of an Energy Consumption Forecasting System for Energy Management in Buildings\u201d. In: Moura Oliveira P., Novais P., Reis L. (eds) Progress in Artificial Intelligence. EPIA 2019. Lecture Notes in Computer Science, vol 11804. Springer, Cham.\u00a0<a href=\"https:\/\/doi.org\/10.1007\/978-3-030-30241-2_39\">doi.org\/10.1007\/978-3-030-30241-2_39<\/a><\/li>\n<li>Silva C., Faria P., Vale Z. (2019) \u201cInfluence of Combining Real-time and Fixed Tariffs in the Demand Response Aggregation and Remuneration Scheems Definition\u201d\u00a0In:<em>\u00a0IEEE Milan PowerTech<\/em>, Milan, Italy, 2019, pp. 1-6.\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/document\/8810954\">doi.org\/10.1109\/PTC.2019.8810954<\/a><\/li>\n<li>Faria P., Sp\u00ednola J., Vale Z. (2019) \u201cModeling of Consumer Preferences and Constraints for the Optimal Schedule of Consumption Shifting,\u201d\u00a0In:<em>\u00a0IEEE Milan PowerTech<\/em>, Milan, Italy, 2019, pp. 1-6.\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/abstract\/document\/8810732\">doi.org\/10.1109\/PTC.2019.8810732<\/a><\/li>\n<\/ul>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"alignnone size-large wp-image-168 hoverZoomLink\" src=\"https:\/\/www.gecad.isep.ipp.pt\/COLORS\/wp-content\/uploads\/2019\/05\/sponsor-1024x101.png\" alt=\"\" width=\"1024\" height=\"101\" srcset=\"https:\/\/www.gecad.isep.ipp.pt\/COLORS\/wp-content\/uploads\/2019\/05\/sponsor-1024x101.png 1024w, https:\/\/www.gecad.isep.ipp.pt\/COLORS\/wp-content\/uploads\/2019\/05\/sponsor-300x29.png 300w, https:\/\/www.gecad.isep.ipp.pt\/COLORS\/wp-content\/uploads\/2019\/05\/sponsor-768x75.png 768w, https:\/\/www.gecad.isep.ipp.pt\/COLORS\/wp-content\/uploads\/2019\/05\/sponsor-1920x189.png 1920w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/p>\n","protected":false},"excerpt":{"rendered":"<p>COLORS White book, July 2022: File download Books: Vale, Z., Gomes, L., Faria, P., and Ramos, C. (2021) \u201cIntelligent Energy-Oriented Home,\u201d in Artificial Intelligence to Solve Pervasive Internet of Things Issues, Elsevier, 2021, pp. 269\u2013289. doi.org\/10.1016\/B978-0-12-818576-6.00014-9 Faria P., Vale Z. (2020) \u201cDistributed Energy Resources Management 2018\u201d. In: Energies (Vol. 12). doi.org\/10.3390\/books978-3-03928-171-8 Scientific Journals: Silva, C.,&hellip; <br \/> <a class=\"read-more\" href=\"https:\/\/www.gecad.isep.ipp.pt\/COLORS\/documents\/\">Read more<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-templates\/homepage.php","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"_links":{"self":[{"href":"https:\/\/www.gecad.isep.ipp.pt\/COLORS\/wp-json\/wp\/v2\/pages\/23"}],"collection":[{"href":"https:\/\/www.gecad.isep.ipp.pt\/COLORS\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.gecad.isep.ipp.pt\/COLORS\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.gecad.isep.ipp.pt\/COLORS\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.gecad.isep.ipp.pt\/COLORS\/wp-json\/wp\/v2\/comments?post=23"}],"version-history":[{"count":27,"href":"https:\/\/www.gecad.isep.ipp.pt\/COLORS\/wp-json\/wp\/v2\/pages\/23\/revisions"}],"predecessor-version":[{"id":314,"href":"https:\/\/www.gecad.isep.ipp.pt\/COLORS\/wp-json\/wp\/v2\/pages\/23\/revisions\/314"}],"wp:attachment":[{"href":"https:\/\/www.gecad.isep.ipp.pt\/COLORS\/wp-json\/wp\/v2\/media?parent=23"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}