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In view of this and the environmental problems caused by energy sources with fossil fuel origin, methods of energy production with renewable sources have been increasingly addressed. Studies that estimate the impact and evaluations of solar technologies in homes are scarce. In this sense, the applied method addresses the use of CLIPS for the development of a knowledge base for preliminary diagnosis and evaluation of solar energy for homes and businesses, thus obtaining a prototype of an expert system, the method also approaches the use of artificial intelligence with a heuristic characteristic and its target audience is people with little or no knowledge in the area, thus contributing to the social impact. As a result, the developed programming helps people with little or no knowledge about solar energy and its residential application to have access and thus verify the applicability. It is worth noting that this is the first empirical study carried out in Brazil, a country of crucial importance for the development of solar energy.<\/jats:p>","DOI":"10.1186\/s42162-023-00256-5","type":"journal-article","created":{"date-parts":[[2023,1,27]],"date-time":"2023-01-27T12:07:27Z","timestamp":1674821247000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Expert system: use of CLIPS software to evaluate solar energy for residences and businesses"],"prefix":"10.1186","volume":"6","author":[{"given":"Thamyres Machado","family":"David","sequence":"first","affiliation":[]},{"given":"Te\u00f3filo Miguel","family":"de Souza","sequence":"additional","affiliation":[]},{"given":"Paloma Maria Silva Rocha","family":"Rizol","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,1,27]]},"reference":[{"key":"256_CR1","doi-asserted-by":"publisher","DOI":"10.3103\/S0003701X21030026","author":"F Ahmed","year":"2021","unstructured":"Ahmed F, Baig F, Khattak YH (2021) Enhanced system architecture for smart home energy management system using Knapsack algorithm with integration of solar photovoltaic energy source. 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