{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,22]],"date-time":"2025-07-22T11:08:03Z","timestamp":1753182483278,"version":"3.40.5"},"reference-count":56,"publisher":"Wiley","license":[{"start":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T00:00:00Z","timestamp":1652140800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Applied Computational Intelligence and Soft Computing"],"published-print":{"date-parts":[[2022,5,10]]},"abstract":"<jats:p>Smart grids have brought new possibilities in power grid operations for control and monitoring. For this purpose, state estimation is considered as one of the effective techniques in the monitoring and analysis of smart grids. State estimation uses a processing algorithm based on data from smart meters. The major challenge for state estimation is to take into account this large volume of measurement data. In this article, a novel smart distribution network state estimation algorithm has been proposed. The proposed method is a combined high-gain state estimation algorithm named adaptive extended Kalman filter (AEKF) using extended Kalman filter (EKF) and unscented Kalman filter (UKF) in order to achieve better intelligent utility grid state estimation accuracy. The performance index and the error are indicators used to evaluate the accuracy of the estimation models in this article. An IEEE 37-node test network is used to implement the state estimation models. The state variables considered in this article are the voltage module at the measurement nodes. The results obtained show that the proposed hybrid algorithm has better performance compared to single state estimation methods such as the extended Kalman filter, the unscented Kalman filter, and the weighted least squares (WLS) method.<\/jats:p>","DOI":"10.1155\/2022\/7978263","type":"journal-article","created":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T22:35:05Z","timestamp":1652222105000},"page":"1-14","source":"Crossref","is-referenced-by-count":9,"title":["A Novel Smart Method for State Estimation in a Smart Grid Using Smart Meter Data"],"prefix":"10.1155","volume":"2022","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1257-8470","authenticated-orcid":true,"given":"Felix Ghislain","family":"Yem Souhe","sequence":"first","affiliation":[{"name":"Technology and Applied Science Laboratory, University of Douala, IUT, Douala, Cameroon"},{"name":"Department of Electrical Engineering, University of Douala, ENSET, Douala, Cameroon"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3783-3343","authenticated-orcid":true,"given":"Alexandre Teplaira","family":"Boum","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, University of Douala, ENSET, Douala, Cameroon"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6456-5893","authenticated-orcid":true,"given":"Pierre","family":"Ele","sequence":"additional","affiliation":[{"name":"Technology and Applied Science Laboratory, University of Douala, IUT, Douala, Cameroon"},{"name":"Department of Electrical Engineering, University of Yaounde 1, Polytechnic, Yaounde, Cameroon"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0867-2357","authenticated-orcid":true,"given":"Camille Franklin","family":"Mbey","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, University of Douala, ENSET, Douala, Cameroon"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7848-3004","authenticated-orcid":true,"given":"Vinny Junior","family":"Foba Kakeu","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, University of Douala, ENSET, Douala, Cameroon"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"crossref","first-page":"59564","DOI":"10.1109\/ACCESS.2020.3041178","article-title":"Smart grid big data analytics: survey of technologies, techniques, and applications","volume":"9","author":"D. 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