{"id":2828,"date":"2025-09-26T22:49:54","date_gmt":"2025-09-26T15:49:54","guid":{"rendered":"https:\/\/research.binus.ac.id\/airdc\/?p=2828"},"modified":"2025-09-26T22:49:59","modified_gmt":"2025-09-26T15:49:59","slug":"estimation-of-lead-acid-battery-degradation-a-model-for-the-optimization-of-battery-energy-storage-system-using-machine-learning","status":"publish","type":"post","link":"https:\/\/research.binus.ac.id\/airdc\/2025\/09\/estimation-of-lead-acid-battery-degradation-a-model-for-the-optimization-of-battery-energy-storage-system-using-machine-learning\/","title":{"rendered":"Estimation of Lead Acid Battery Degradation- A Model for the Optimization of Battery Energy Storage System using Machine Learning"},"content":{"rendered":"<p style=\"text-align: justify\"><span data-sheets-root=\"1\">Energy storage systems are becoming increasingly important as more renewable energy systems are integrated into the electrical (or power utility) grid. Low-cost and reliable energy storage is paramount if renewable energy systems are to be increasingly integrated into the power grid. Lead-acid batteries are widely used as energy storage for stationary renewable energy systems and agriculture due to their low cost, especially compared to lithium-ion batteries (LIB). However, lead-acid battery technology suffers from system degradation and a relatively short lifetime, largely due to its charging\/discharging cycles. In the present study, we use Machine Learning methodology to estimate the battery degradation in an energy storage system. It uses two types of datasets: discharge condition and lead acid battery data. In the initial analysis, the Support Vector Regression (SVR) method with the RBF kernel showed poor results, with a low accuracy value of 0.0127 and RMSE 5377. On the other hand, the Long Short-Term Memory (LSTM) method demonstrated better estimation results with an RMSE value of 0.0688, which is relatively close to 0.<\/span><\/p>\n<p><strong>Authors:<\/strong><br \/>\n<span data-sheets-root=\"1\">Arief S Budiman, Rayya Fajarna, Muhammad Asrol, Fitya Syarifa Mozar, Christian Harito, Bens Pardamean, Derrick Speaks, Endang Djuana<\/span><\/p>\n<p><em>Electrochem<\/em><\/p>\n<p><a href=\"https:\/\/www.researchgate.net\/publication\/395297267_Estimation_of_Lead_Acid_Battery_Degradation-A_Model_for_the_Optimization_of_Battery_Energy_Storage_System_Using_Machine_Learning\" target=\"_blank\" rel=\"noopener\"><strong>Read Full Article<\/strong><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Energy storage systems are becoming increasingly important as more renewable energy systems are integrated into the electrical (or power utility) grid. Low-cost and reliable energy storage is paramount if renewable energy systems are to be increasingly integrated into the power grid. Lead-acid batteries are widely used as energy storage for stationary renewable energy systems and [&hellip;]<\/p>\n","protected":false},"author":14,"featured_media":2829,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[],"class_list":["post-2828","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-research"],"_links":{"self":[{"href":"https:\/\/research.binus.ac.id\/airdc\/wp-json\/wp\/v2\/posts\/2828","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/research.binus.ac.id\/airdc\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/research.binus.ac.id\/airdc\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/research.binus.ac.id\/airdc\/wp-json\/wp\/v2\/users\/14"}],"replies":[{"embeddable":true,"href":"https:\/\/research.binus.ac.id\/airdc\/wp-json\/wp\/v2\/comments?post=2828"}],"version-history":[{"count":1,"href":"https:\/\/research.binus.ac.id\/airdc\/wp-json\/wp\/v2\/posts\/2828\/revisions"}],"predecessor-version":[{"id":2830,"href":"https:\/\/research.binus.ac.id\/airdc\/wp-json\/wp\/v2\/posts\/2828\/revisions\/2830"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/research.binus.ac.id\/airdc\/wp-json\/wp\/v2\/media\/2829"}],"wp:attachment":[{"href":"https:\/\/research.binus.ac.id\/airdc\/wp-json\/wp\/v2\/media?parent=2828"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/research.binus.ac.id\/airdc\/wp-json\/wp\/v2\/categories?post=2828"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/research.binus.ac.id\/airdc\/wp-json\/wp\/v2\/tags?post=2828"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}