Energy Sources Driven Electricity Production: A Global Tactical and Strategical Paradigm

• 作者: Bahman Zohuri Farhang Mossavar Rahmani
• 来源期刊: 能源与动力工程:英文版
• 学科: 经济
• 关键词: Quantum computing and computer classical computing and computer artificial intelligence machine learning deep learning fuzzy logic resilience system forecasting and related paradigm big data commercial and urban demand for electricity
• 年，卷（期）: 2020,（1）
• 页码范围: 26-32
• 页数: 7页
• 分类号: F42

摘要

Energy forecasting for electricity productivity is the process of applying statistics with possible Quantum or Classical Computing with help from new innovative techniques offered by artificial intelligence to make predictions about consumption levels.This kind of computation presents corresponding utility costs in both the tactical and strategical or short term and long term.Energy forecasting models take into account historical data,trends,weather inputs,tariff structures,and occupancy schedules in the urban city due to population growth,etc.to make predictions.Additionally,energy forecasting as future paradigm is driven by electricity production demand and it is a cost-effective technique to predict future energy needs,which is a paradigm to achieve demand and supply chain equilibrium based on available energy both renewable and non-renewable sources.