Table 2.

Summary of the dataset.

Level	Content	Document name
1. National level	WG sales (Sorted by WG type and year; 2012–2019)	1-1 Household appliance market share
	EEG and RP weighted by sales (Sorted by WG type; 2012–2019 real sales data, 2020 predicted data)	1-2 National – Weighted average EEG
2. Province level	WG sales (Sorted by WG type and year; 2012-2019)	2-1 Household appliance market share
	EEG and RP weighted by sales (Sorted by WG type and province; 2012-2019 real EEG data, 2020 predicted data)	2-2 Province – Impeller washing machine
		2-3 Province – Drum washing machine
		2-4 Province – Electrical water heater
		2-5 Province – Room air conditioner
		2-6 Province – Speed variable room air conditioner
3. Household level	Average EEG of WGs (2019 & 2021, 1327 households in Beijing, China)	3-1 Household basic information
		3-2 Average EEG and EEG attitude
4. Other information	Variables and hyperparameters of ML	4-1 Features (explanatory variables) in REPM
		4-2 Hyperparameters of the best models
	Questionnaire	4-3 Questionnaire in Chinese and English translations
	Meta data	Readme