Energy Driven by Internet of Things Analytics and Artificial Intelligence  

作　　者：Bahman Zohuri Paul E.Bowen Akansha Agarwal Dinesh Kumar Masoud Moghaddam 

机构地区：[1]Ageno School of Business,Business Analytics School,Golden Gate University,San Francisco,California 94105,USA [2]California Polytechnic State University,San Luis Obispo MBA 1996,San Luis Obispo,California 93401,USA [3]AICyberDomain.com,Chief Executive Officer,San Francisco Bay,California 94501,USA

出　　处：《Journal of Energy and Power Engineering》2022年第1期24-31,共8页能源与动力工程（美国大卫英文）

摘　　要：Developing an integrated and intelligent approach to securing the ITE(information technology environment)is an emergent and evolving concern for every organization and consumer entity during the last few decades.Major topics of concern include“SI”(security intelligence),“D-DA”(data-driven analytics),“PE”(proven expertise),and“R-TD”(real-time defense)capabilities.“DRBTs”(dynamic response behavior types)include“incident response”,“endpoint management”,“threat intelligence”,“network security”,and“fraud protection”.The consumer demand for electricity as essential public access and service is indexed to population growth estimates.Consumer-driven economies continue to add electrical consumption to their grids even though improvements in lower-power consumption and higher design efficiencies are present in new electric-powered products.Dependence on the production of electrical energy has no peer replacement technology and creates a societal vulnerability to targeted public electrical grid interruptions.When access to,or production of,electrical power is interrupted,the result is a“Mass Effect”every consumer feels with equal distribution.Electric grid security falls directly into the levels of authorized,and unauthorized,access via the“IoT”(Internet of Things)concepts,and the“IoM2M”(Internet of Machine-to-Machine)integration.Electrical grid operations that include production and network management augment each other in order to support the demand for electricity every day either in peak or off-peak,thus cybersecurity plays a big role in the protection of such assets at our disposal.With help from AI(artificial intelligence)integrated into the IoT a resilient system can be built to protect the electric grid system nationwide and will be able to detect and preempt Smart Malware attacks.

关 键 词：Resilience system energy flow energy storage energy grid business intelligence AI CYBERSECURITY decision making in real-time ML(machine learning) DL(deep learning) BD(big data) cloud-based servers for repository and storage of data 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]