Can artificial intelligence measure whether which income level influences low income household accept to use the much electricity energy at home? Has it relationship between the householder income and the electricity energy needs? How to evaluate the subsidies and social tariffs to assist lower income earners to analyze household energy consumption more accurate?Electricity energy is essential needs for every householder at home, e.g. lighting, cooking power, healthcare, sanitation, cooler or warmer temperature indoor control at home. However, for lower income household earners, it its burden when they need often to use electricity energy to supply power to any home electricity tools to do any acticities at homes. If any these countries' lower income householder earner target can not get the reasonable subsidies to assist them to solve any electricity energy tools' electricity energy poer needs. Due to their lower income leve, it is possible that to knfluence them have enough electricity supply to help them to use to cook rice and food and vegatabe to eat, boil water to drink, turning on light tools to help them to read, watch TV, listen radio, music any entertainment or essential needs at homes at night or morning afternoon time. These lower income household earners will be easy to sick, due to they have no enough electricity supply to help them to use use electric bottles to boil water or cook food to eat. Then they only drink not boiled water or not cooked food to eat at homes in possible, due to they have no enough income to pay electricity fees every month. Hence, how to evaluate the lower income household earners' electricity fee need ( demand) level in order to provide the reasonable subsidies amount to assist every country's low income household earner to help them to pay the reasonable electricity fee which is one important issue to every country's government today. It brings this question: How to evaluate or analyze or predict every lower income household individual or family earner's every month electricity energy demand (need) more accurate?It is one essential issue to be value to consider to every country's government. Moreover, to the estent that energy subsidies must be essential to be provided by public sources to all low income household earners or that a social tariff may be designed for improving access to energy for certain low income social earner groups. Hence, how to structure the energy subsidies between energy and income levels to be better target, such public mechanisms, and to avoid regressive subsidies unfairly. For example, India and China these both countries ' income poverty and energy poverty population are the large number. So, these both countries' governments need to focuse on more aggregated effects and analyze the effects of rural electrification at the local level on the decrease in energy poverty in rural low income poverty and energy poverty householders. Therefore, every country government needs to point regressivity of the subsidy for electricity. There is room to analyze to what extent low income household earners along the income distribution demand some forms of energy, and to suggest better and fair low income targeting household earners energy subsidies supply policies.