The energy sector currently faces growing challenges related to increasing demand, efficiency, a lack of analytics required for optimal management, and changing supply and demand patterns. Renewable energy technologies such as Energy forecasting, energy efficiency, and energy accessibility are the key factors that incorporate Artificial intelligence. In this paper, the Artificial Intelligence-based useful evaluation model (AIEM) has been proposed for forecasting renewable energy and energy efficiency impact on the economy. This study intended to analyze, compare and build a model utilizing artificial intelligence and specific economic indicators significant in economic prediction regarding renewable energy. AI approaches that can be employed to overcome different challenges, including selecting the best consumer to react for the attributes and desires, competitive pricing, scheduling, and managing facilities, incentivizing demand response participants, and compensating them equally and economically. The proposed model can help enhance energy efficiency to 97.32% and improve renewable energy resource utilization.

能源部门目前面临着与不断增长的需求、效率、缺乏优化管理所需的分析以及不断变化的供需模式相关的日益严峻的挑战。能源预测、能源效率和能源可及性等可再生能源技术是纳入人工智能的关键因素。本文提出了基于人工智能的有用评估模型 (AIEM)，用于预测可再生能源和能源效率对经济的影响。本研究旨在利用人工智能和对可再生能源经济预测具有重要意义的特定经济指标进行分析、比较和构建模型。可用于克服不同挑战的人工智能方法， 参与者，并在经济上平等地补偿他们。所提出的模型有助于将能源效率提高到 97.32%，并提高可再生能源的利用率。