TY  - CONF
N2  - The extensive research and development over aeras have proposed numerous techniques for load forecasting (L.F). The major targeted area was either the grid, commercial or residential consumers but the industrial sector was not widely explored; specially the spaciousness of the grid isolated industries or independent power plants (IPP's). The paper intent to investigates the L.F methods and highlight their flaws, comprehensive review of their limitations and existing potential challenges to associated with electrical L.F. The study furthers three potential research questions and respective objectives attained after extensive quality assessment criteria for inclusion or exclusion of literature. However, in electrical load forecasting, the choice of parameters and model selection criteria leads to an optimization challenge. The methods proposed with trial and error combined with expert knowledge to optimize the input parameters have been widely used in past. Such custom-made approaches are difficult to be considered in the isolated industries or IPP's due to their nature of operations. Also, the renewable energy integration with conventional grids has commended towards more precise and accurate L.F. This paper presents a comprehensive review of forecasting techniques for electrical load forecasting and examine the models. Additionally, the research gaps are also discussed. © 2021 IEEE.
N1  - cited By 3; Conference of 3rd IEEE International Conference on Electrical, Control and Instrumentation engineering, ICECIE 2021 ; Conference Date: 27 November 2021 Through 28 November 2021; Conference Code:176202
KW  - Electric load forecasting; Electric power plant loads; Industrial plants; Smart city; Smart power grids
KW  -  Diverse modality; Electrical load forecasting; Grid-isolated power plant; Independent power plants; Industrial power plants; Isolated power; Load forecasting; Research and development; Residential consumers; Smart grid
KW  -  Electric power transmission networks
ID  - scholars15434
TI  - Implication of Diverse Modalities for Electrical Load Forecasting
AV  - none
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124700275&doi=10.1109%2fICECIE52348.2021.9664713&partnerID=40&md5=6888b9c2f361bd3d3b5c2c7bbdf8fe36
A1  - Azeem, A.
A1  - Ismail, I.
A1  - Jameel, S.M.
A1  - Harindran, V.R.
Y1  - 2021///
SN  - 9781665449663
PB  - Institute of Electrical and Electronics Engineers Inc.
ER  -