000 | 01179nam a2200337 4500 | ||
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008 | 240126t2021 ||||| |||| 00| 0 eng d | ||
041 | _aeng | ||
080 | _a621.3(043) | ||
100 | _aJeewandara, Jeewandara Mudiyanselage Dinidu Srimal | ||
245 | _aAn Advanced machine learning approach to estimate the state of charge of battery energy storage system for micro-grid | ||
260 | _c[2021] | ||
300 |
_axii, 114p. : col. charts, col. ill., col. photos, tables, _eCD-ROM |
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502 |
_cEE _dFAC_ENG _gUniversity of Moratuwa _o21 |
||
650 | _a BATTERY MANAGEMENT SYSTEM | ||
650 | _aDEEP LEARNING | ||
650 | _aPYTHON | ||
650 | _aPREDICTION | ||
650 |
_aKALMAN FILTER _913728 |
||
650 | _aSTATE OF CHARGE | ||
650 | _aTIME SERIES FORECASTING | ||
650 |
_aELECTROTHERMAL BATTERY MODEL _927321 |
||
650 |
_aPARAMETERIZATION _99593 |
||
650 |
_aVALIDATION _9288 |
||
650 | _a HEAT GENERATION | ||
650 | _a ELECTRICAL ENGINEERING – Dissertation | ||
658 | _aMSc (Major Component Research) | ||
700 |
_aProf. J.P. Karunadasa _esup |
||
700 |
_aProf. K.T.M.U. Hemapala _esup |
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856 | _uhttp://dl.lib.uom.lk/handle/123/22540 | ||
942 | _cTH | ||
999 |
_c182123 _d182123 |