A hybrid PSO-LSTM-based electricity prediction and optimization technique for home appliances | Science and Technology for Energy Transition (STET)

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Table 1

Summary of energy consumption prediction and optimization models developed in the literature in comparison to the proposed work.

Authors	Residential sector	Individual appliances	Weather clustering	Prediction	Optimization	Deep learning	Benchmark data
Gajowniczek et al. [13]	√	√	×	√	×	√	√
Hossen et al. [9]	√	×	×	√	×	√	√
Kaur et al. [12]	√	×	√	√	√	√	√
Luo et al. [5]	√	×	√	√	√	√	×
Ullah et al. [29]	√	×	×	√	√	√	√
Wang et al. [2]	×	√	×	√	×	√	×
Goudarzi et al. [30]	×	×	×	√	√	×	×
Walker et al. [4]	×	×	×	√	×	×	×
Gaur et al. [31]	√	√	×	√	×	√	√
Pham et al. [32]	×	×	×	√	×	×	√
Sajjad et al. [8]	√	×	×	√	√	√	√
Huang et al. [33]	×	×	×	√	√	√	×
Fan et al. [34]	×	×	×	√	×	√	√
Ozdemir et al. [35]	×	×	×	√	×	√	√
Cai et al. [36]	×	×	×	√	×	√	√
Akter et al. [37]	×	×	√	√	×	√	√
Iram et al. [38]	√	×	√	√	×	√	√
Proposed Model	√	√	√	√	√	√	√

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