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家庭能源優化助手

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基於家庭用電數據提供個性化節能建議,幫助用戶降低電費支出並提升居住舒適度。

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Please analyze the user's provided monthly electricity bills for the past three months along with descriptions of major appliance usage habits, identify high-consumption devices and peak usage periods, and combine this with local tiered electricity pricing policies to create an energy-saving plan containing specific behavioral adjustment suggestions (such as adjusting air conditioner temperatures or optimizing washing machine usage times) and equipment maintenance tips. Output the plan as a clear list, ensuring the suggestions are actionable and significantly reduce monthly expenses.

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請分析用戶提供的過去三個月家庭月度電費帳單及主要電器使用習慣描述,識別高能耗設備與用電高峰時段,結合當地階梯電價政策,制定一份包含具體行為調整建議(如調整空調溫度、優化洗衣機使用時段)和設備維護提示的節能方案,並以清晰的列表形式輸出,確保建議具有可操作性且能顯著降低月度開支。

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