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Renewable and Nonrenewable Energy Flow Resiliency for Day-to-Day Production and Consumption

Journal of Energy and Power Engineering 2022年第1期16卷 13-18页

作者： Bahman Zohuri Farhang Mossavar-Rahmani Masoud Moghaddam Ageno School of Business Golden Gate UniversitySan FranciscoCalifornia 94105USA Galaxy Advanced Engineering San MateoCalifornia 94401USA Professor of Finance and Director of MBA School of Business and Management National UniversitySan DiegoCalifornia 92123USA ***

Energy resilience is about ensuring a business and end-use consumers have a reliable,regular supply of energy and contingency measures in place in the event of a power failure,generating a source of power such as electricity for daily needs from an uninterrupted source of energy no matter either renewable or *** of resilience issues include power surges,weather,natural disasters,or man-made accidents,and even equipment *** human operational error can also be an issue for grid-power supply to go down and should be factored into resilience *** the energy landscape undergoes a radical transformation,from a world of large,centralized coal plants to a decentralized energy world made up of small-scale gas-fired production and renewables,the stability of electricity supply will begin to affect energy *** must plan for this *** challenges that the growth of renewables brings to the grid in terms of intermittency mean that transmission and distribution costs consume an increasing proportion of *** progress in the technology of AI(Artificial Intelligence)integration of such progressive technology in recent decades,we are improving our resiliency of energy flow,so we prevent any unexpected interruption of this *** your business is energy resilient helps insulate against price increases or fluctuations in supply,becoming critical to maintaining operations and reducing commercial *** the form short TM(Technical Memorandum),this paper covers this issue.

关键词： resilience system energy flow energy storage energy grid BI(business intelligence) AI cyber security decision making in real-time machine learning and deep learning BD(big data)and cloud-based servers for repository and storage of data

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Global Electricity Demand and Clean Energy Source Growth Scenario

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Journal of Energy and Power Engineering 2022年第4期16卷 156-165页

作者： Bahman Zohuri Farhang Mossavar-Rahmani Farahnaz Behgounia Ageno School of Business Golden Gate UniversitySan FranciscoCalifornia 94105USA Business Analytics School Galaxy Advanced Engineering AlbuquerqueNew Mexico 87111USA Department/School National UniversitySan DiegoCalifornia 92123USA

It is impossible to overstate the importance of *** thinking about where humanity would be without it may be enough to demonstrate this *** in the past,energy will play a vital role in shaping future industries,cities,nations,and the *** is why we believe that energy is a critical factor in shaping future paradigms in any target entity or *** have a better understanding of the role that energy plays in the world today and in the future,in this article,we briefly look at the definition of energy and its different forms,and review some data related to energy consumption in the world and the United ***,as a source of clean energy,we believe the future of nuclear power technology,despite the challenges it faces,is an important option for this country and the rest of the world to meet future energy needs without emitting CO(carbon monoxide)and CO2(carbon dioxide),or other GHGs(greenhouse gases),and other atmospheric pollutants and it is more efficient among its other comparable sources of renewable energies,such as solar,wind,***,renewables made up 29 percent of electricity generation in 2020,much of it from hydro-power(16.8 percent).A record amount of over 256 GW of renewable power capacity was added globally during 2020 and continues to be the focal point for climate and energy *** for electricity is direct function of population growth globally and is also driven by the present century’s extraordinary technological developments.

关键词： Electricity demand energy flow energy storage energy grid resilience system population growth and modern technology

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Energy Driven by Internet of Things Analytics and Artificial Intelligence

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Journal of Energy and Power Engineering 2022年第1期16卷 24-31页

作者： Bahman Zohuri Paul E.Bowen Akansha Agarwal Dinesh Kumar Masoud Moghaddam Ageno School of Business Business Analytics SchoolGolden Gate UniversitySan FranciscoCalifornia 94105USA California Polytechnic State University San Luis Obispo MBA 1996San Luis ObispoCalifornia 93401USA *** Chief Executive OfficerSan Francisco BayCalifornia 94501USA

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 *** 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 ***-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 *** on the production of electrical energy has no peer replacement technology and creates a societal vulnerability to targeted public electrical grid *** access to,or production of,electrical power is interrupted,the result is a“Mass Effect”every consumer feels with equal *** 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)*** 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 *** 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

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

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Journal of Energy and Power Engineering 2020年第1期14卷 26-32页

作者： Bahman Zohuri Farhang Mossavar Rahmani Ageno School of Business Data AnalyticGolden Gate UniversitySan FranciscoCA 94105CaliforniaUSA School of Business and Management National UniversitySan DiegoCA 92123CaliforniaUSA

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 *** kind of computation presents corresponding utility costs in both the tactical and strategical or short term and long *** forecasting models take into account historical data,trends,weather inputs,tariff structures,and occupancy schedules in the urban city due to population growth,*** make ***,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.

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

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