Academic literature on the topic 'Electric power consumption – Nigeria'

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Journal articles on the topic "Electric power consumption – Nigeria"

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Orji, Anthony, Jonathan E. Ogbuabor, Onyinye I. Anthony-Orji, Chinonso Okoro, and Daniel Osondu. "Analysis of ICT, Power Supply and Human Capital Development in Nigeria as an Emerging Market Economy." Studia Universitatis „Vasile Goldis” Arad – Economics Series 30, no. 4 (December 1, 2020): 55–68. http://dx.doi.org/10.2478/sues-2020-0024.

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AbstractThis paper analyzed the impact of information and communication technology (ICT) and power supply on human capital development in Nigeria as an emerging market economy. The study adopted the Classical Linear Regression Model for the empirical analysis. The result showed that ICT, power supply (proxied by electricity consumption) and population impact positively on human capital development, while infant mortality has a negative impact on human capital development in Nigeria. The impact of ICT on school enrolment suggests that technology is fast evolving and new technologies are preferred to old ones. The study, therefore, recommended that Nigeria should follow in the trend of ICT globally in harnessing her human capital endowments. In conclusion, the Nigerian government should harness her ICT and electric power potentials and develop the human capital available to her to prevent the emigration of her human resource endowment to more resilient and promising economies.
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Agyei-Sakyi, Mark, Yunfei Shao, Oppong Amos, and Armah Marymargaret. "Determinants of Electricity Consumption and Volatility-Driven Innovative Roadmaps to One Hundred Percent Renewables for Top Consuming Nations in Africa." Sustainability 13, no. 11 (June 1, 2021): 6239. http://dx.doi.org/10.3390/su13116239.

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The determinants of providing affordable electricity for all in top energy-consuming African countries vary and are in line with the percentage of the current population with access to electricity and volatility in a country’s electric power system, but there is rare evidence of such research. This study categorizes Egypt–Algeria as a panel of countries with 100% access to electricity, and Nigeria–South Africa as otherwise, to investigate the causal relationship between domestic electricity demand, renewable electricity generation, population, and GDP. The study proposed and implemented a novel machine learning model for viable and volatility-driven pathways for renewable electric power transition up to 2030. Results from Pedroni cointegration analysis suggest no evidence of long-run relationships among the variables. Nonetheless, there exists a short-run unidirectional causal relationship from GDP to electricity consumption for Nigeria–South Africa; all except Egypt can achieve 100% access to green electricity. The implication is that, through radical renewable electricity generation innovations, countries can achieve renewable-dominated electric power systems despite expected disruptions from the coronavirus pandemic. For sustainable energy planning, countries aiming to achieve 100% renewables is possible due to the radical transition pathways since it takes into account the volatility.
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Erhun, Mercy O., and Daniel O. Johnson. "A Legal Framework for Sustainable Electrical Energy Industry in Nigeria." Energy and Environment Research 8, no. 2 (November 26, 2018): 45. http://dx.doi.org/10.5539/eer.v8n2p45.

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Nigeria has fairly adequate endowment of energy resources, yet the country is lagging behind in terms of access to reliable and affordable energy supply. The country faces serious challenges as a result of declining electricity generation from domestic power plants. This steady decline has led to a near failure of the electric power sector. Electricity supply required to place Nigeria on the path of economic growth and sustainable development is in very short supply. The country has just 45 electrification rate, with only 54.7% of her population electrified as at 2016. More than 80 million people are still without access to electricity with frequent power failure. This has contributed to the slow economic growth currently experienced in Nigeria. Regular power supply is the hallmark of a developed economy. Nigeria is blessed with energy resources which could be harnessed to provide various modern energy services and which could have played essential role in the effort to alleviate poverty in the country. There is failure to mobilize the required resources for the development of energy resources in Nigeria. Around 1,500MW of Nigeria’s hydropower potential is currently being used, contributing to about 30% of the total amount of electricity produced. The large amount of gas associated with oil exploration operations is being wasted through flaring instead of being valuably used for power generation and industrial processes. Current patterns of production and consumption of energy are not sustainable. This paper highlights the importance of sustainable electric energy development in attaining sustainable development in Nigeria.
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Austin, Oshin Ola. "Advanced Control And Development of Hydro and Diesel Generator Hybrid Power System Models for Renewable Energy Microgrids." Journal La Multiapp 2, no. 3 (August 11, 2021): 16–32. http://dx.doi.org/10.37899/journallamultiapp.v2i3.383.

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The Nigerian power problem resulted to incessant and erratic supply of electricity and this has destroyed many industrial processes in the country. It has reduced productivity and has increased unemployment rate in the country to over 50million (this figure is over 70% of Nigerian youths). This has led many of the youths in the country to crime. It has led to the deaths of many innocent people in the country. As of 2016, the electricity energy consumption in the world from the world fact book revealed that the average power per capita (watts per person) in the United States is 1,377 Watts. In Canada, it is 1704 Watts per person and in South Africa; it is 445 Watts per person and in Australia, average power per capita (watts per person) is as high as 1,112 Watts. Whereas, the average electricity consumed in watts per person in Nigeria is just 14 Watts. Unfortunately, this has put the country in a rank of 189 out of 219 countries estimated. In this research work, a Hybrid Electric Power System (HEPS) which comprises Hydro Electric Power Plant (HEPP) and Diesel Generator (DG) was modelled and a control algorithm was established to improve the performance of the system. Hybrid power system mathematical and Simulink models were developed. The output power of the developed Simulink model was be optimized using optimum power point optimization techniques and control algorithms. Simulink models of the two components of the Hybrid Electric Power System were produced using MATLAB/Simulink software. The develop Simulink models was interconnected and final model was developed. The results obtained revealed that the problems associated with conventional methods of power generation was overcomed by the development of this renewable and non-renewable energy resources Hybrid Electric Power System (HEPS) models.
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Emovon, I. "A Fuzzy Multi-Criteria Decision-Making Approach for Power Generation Problem Analysis." Journal of Engineering Sciences 7, no. 2 (2020): E26—E31. http://dx.doi.org/10.21272/jes.2020.7(2).e5.

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The abundance of different energy sources such as coal, natural gas, and crude oil are in the Africa region, yet one of the lowest electric energy per capita consumption. Different factors have been attributed to this abysmal energy failure in the literature, leading to her slow economic and industrial advancement. These factors include poor maintenance of power generation infrastructure and lack of policy continuity, among others. The purpose of this article is to prioritize these power generation problems for proper budgetary allocation by managers of electric power. The fuzzy VIKOR technique is presented for the evaluation and ranking of these power generation problems. The analysis showed that poor maintenance is the most critical challenge of bedeviling power generation in Nigeria. The Fuzzy VIKOR produces the same result as the classical VIKOR used previously in resolving the problem. The proposed technique addresses the challenge of uncertainty and subjectivity by applying linguistic variables in the decision-making process, which the classical VIKOR is incapable of handling.
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Obukoeroro, John, and H. E. Uguru. "Appraisal of electrical wiring and installations status in Isoko area of Delta State, Nigeria." Journal of Physical Science and Environmental Studies 7, no. 1 (March 25, 2021): 1–8. http://dx.doi.org/10.36630/jpses_21001.

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Electricity is the prime mover of every economy; hence there is a need to maintain its generation, distribution and consumption. This study was carried out to appraise the status of electrical wiring in the Isoko area of Delta State, Nigeria. A total of 300 residential buildings, 200 makeshift shops and 100 artisan workshops were sampled and their structures, state of connection, overvoltage protection (cut-out fuse) and earthing were accessed. 100 questionnaires were distributed to electricians involved in electrical wiring and installations in the study area. Results obtained from the questionnaires revealed that only 71% of the residential buildings, 23% of the makeshift shops, and 8% of the artisan workshops made use of electric cables that met the NIS recommendations. For electric cable connections, it was observed that there was a lapse in the connections; mostly in the artisan workshops, as some service cables were not properly tightened to the distribution lines. Only 75% of the residential buildings, 53% of the makeshift shops, and 5% of the artisan workshops had approved rating cut-out fuse. It was observed that in artisan workshops, welding machines were connected directly to the service lines. Furthermore, the results revealed that 42% of the residential buildings, 87% of the makeshift shops and 99% of the artisan’s workshops lacked proper earthing. These results revealed electrical risks in many makeshift shops and artisan workshops and the need for the relevant authorities to act fast to minimize power outrage and prevent electrical tragedies in the study area. Keywords: Artisan, electrical wiring, energy theft, makeshift shops, residential buildings
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Itodo, Isaac N., Dorcas K. Yakubu, and Theresa K. Kaankuka. "The Effects of Biogas Fuel in an Electric Generator on Greenhouse Gas Emissions, Power Output, and Fuel Consumption." Transactions of the ASABE 62, no. 4 (2019): 951–58. http://dx.doi.org/10.13031/trans.13394.

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Abstract. The rising cost of fossil fuels, global warming from greenhouse gas (GHG) emissions, unreliable grid supply electricity, and overdependence on hydropower electricity have resulted in low electricity per capita in Nigeria. This study was undertaken to produce, purify, and use biogas as a fuel to generate electricity with a 3.5 kW spark-ignition engine generator and determine its effect on GHG emissions, power output, and fuel consumption. Unpurified and purified biogas were used as fuels. The biogas was purified in water and in a calcium chloride solution. The fuels used to power the generator were gasoline, unpurified biogas, water-purified biogas, and calcium chloride-purified biogas. The GHGs measured were carbon monoxide, carbon dioxide, nitrogen oxide, and sulfur dioxide. The biogas was produced with a 3 m3 capacity floating-drum biogas plant. The total solids concentration and carbon/nitrogen ratio of the influent and effluent slurries were determined. The effects of fuel type on GHG emissions were determined in a 4 × 4 factorial experiment with three replicates in a completely randomized design. The effects of fuel type on power output and fuel consumption of the generator were determined in a 4 × 2 factorial experiment with three replicates in a completely randomized design. The results were analyzed using analysis of variance at p = 0.05. Duncan’s new multiple range test was used to separate means when there was significant difference. The results obtained showed that carbon dioxide emission was not affected by purification of the biogas because the carbon dioxide emissions from the fuel types were not significantly different. The carbon monoxide emission was much higher from the unpurified biogas than from the purified biogas fuels, although gasoline had the highest carbon monoxide emission. The water-purified biogas had the least carbon monoxide and sulfur dioxide emissions. The unpurified biogas had the least nitrogen oxide emission compared to the purified biogas fuels and gasoline. The power output from the unpurified biogas was not significantly different from that of gasoline and was higher than the purified biogas fuels. The fuel consumptions of the purified biogas fuels were not significantly different. The water-purified biogas is recommended for use as fuel for the production of electricity from a spark-ignition engine generator. Keywords: Biogas, Effects, Electricity, Fuel consumption, Greenhouse gas emissions, Power output.
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Sule, B. F., K. R. Ajao, and H. A. Ajimotokan. "A Survey of Use of Electric Lamps and Energy Consumption in Residential Buildings in Selected Estates in Ilorin, Nigeria." Energy Engineering 108, no. 2 (February 2011): 57–68. http://dx.doi.org/10.1080/01998595.2011.10389020.

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Enyi, C. G., and D. Appah. "Maximizing Generated Energy Usage through Combined Cycle Cogeneration." Advanced Materials Research 62-64 (February 2009): 415–19. http://dx.doi.org/10.4028/www.scientific.net/amr.62-64.415.

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Case studies from two Nigerian hydrocarbon processing industries, where gas turbine generators (GTG) were used for power generation were analyzed. The first study analyzed a simple cycle power generation where the GTG produced 25 MW of electricity and three separately fired boilers produced the required process steam. The second study analyzed a combined cycle (cogeneration) where the same GTG that produced 25 MW of electricity also generated 90700 Kg/hr of steam from the turbine exhaust gas. The study shows that cogeneration (combined cycle) satisfied all the electric power and steam requirements of the plant. Simple cycle only satisfied the electric power requirement. Other disadvantages of simple cycle show that over 60% of the generated energy is lost to the environment in form of heat. A loss in production worth over $6,182,400 as a result of failure in a separately fired boiler was calculated. The study concludes that cogeneration must be undertaken with an awareness of energy system expansion, generation costs and the need for industrial energy consumption of a given plant.
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Ani, Vincent Anayochukwu, and Bahijjahtu Abubakar. "Feasibility Analysis and Simulation of Integrated Renewable Energy System for Power Generation: A Hypothetical Study of Rural Health Clinic." Journal of Energy 2015 (2015): 1–7. http://dx.doi.org/10.1155/2015/802036.

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This paper presents the feasibility analysis and study of integrated renewable energy (IRE) using solar photovoltaic (PV) and wind turbine (WT) system in a hypothetical study of rural health clinic in Borno State, Nigeria. Electrical power consumption and metrology data (such as solar radiation and wind speed) were used for designing and analyzing the integrated renewable energy system. The health clinic facility energy consumption is 19 kWh/day with a 3.4 kW peak demand load. The metrological data was collected from National Aeronautics and Space Administration (NASA) website and used to analyze the performance of electrical generation system using HOMER program. The simulation and optimization results show that the optimal integrated renewable energy system configuration consists of 5 kW PV array, BWC Excel-R 7.5 kW DC wind turbine, 24 unit Surrette 6CS25P battery cycle charging, and a 19 kW AC/DC converter and that the PV power can generate electricity at 9,138 kWh/year while the wind turbine system can generate electricity at 7,490 kWh/year, giving the total electrical generation of the system as 16,628 kWh/year. This would be suitable for deployment of 100% clean energy for uninterruptable power performance in the health clinic. The economics analysis result found that the integrated renewable system has total NPC of 137,139 US Dollar. The results of this research show that, with a low energy health facility, it is possible to meet the entire annual energy demand of a health clinic solely through a stand-alone integrated renewable PV/wind energy supply.
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Dissertations / Theses on the topic "Electric power consumption – Nigeria"

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Okafor, Chukwuemeka. "Electricity generation, transmission and distribution policy: a comparative study of Nigeria (1960-2011) and South Africa (1960-2011)." Thesis, University of Fort Hare, 2013. http://hdl.handle.net/10353/d1007049.

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The electric power policies in Nigeria and South Africa are considered the governments’ intention to provide quality and affordable electricity to the people. A comparative study on the electric power policies focuses on the similarities and differences in the policy approaches, the policy issues that affect electrification, and the impact of the policy issues in achieving the goal of universal access to quality and affordable electricity power in both countries. The methodological approach allows for an in depth textual study on the electric power policy documents in both countries. In Nigeria, the government intends to address the massive demand-supply imbalance and achieve the goal of electrification through reforms that focus on private sector-led growth in the sub-sector. In South Africa, the identification of electrification as a public problem by the post apartheid government leads to an integrated policy framework that focuses on balancing economic concerns with social and environmental considerations. The study identifies electricity provision as a social welfare responsibility of the governments in both countries and examines the policy issues in the context of public welfare. In Nigeria, the policy issues are found to be self serving and not in line with sustainable public interest, given the socio-economic challenges. As a result they, exert less impact on achieving the goal of universal access to quality and affordable electricity in the country. In South Africa, good governance in the sub-sector has enabled the identification of policy issues in line with sustainable public interests of social equity, poverty alleviation and environmental sustainability; and government using public administration agencies to play a key role in service delivery. Recommendations of the study mainly derive from the South African experience on electrification, and are intended to offer some policy-lessons to Nigeria in the sub-sector. The study contributes to new knowledge in the discipline of public administration by opening up new vistas for a comparative analysis of electric power policy issues in both countries in the context of public welfare. Besides, a comparative study on electrification in Nigeria and South Africa from a policy angle contributes to the existing knowledge base in the discipline.
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Mangisa, Siphumlile. "Statistical analysis of electricity demand profiles." Thesis, Nelson Mandela Metropolitan University, 2013. http://hdl.handle.net/10948/d1011548.

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An electricity demand profile is a graph showing the amount of electricity used by customers over a unit of time. It shows the variation in electricity demand versus time. In the demand profiles, the shape of the graph is of utmost importance. The variations in demand profiles are caused by many factors, such as economic and en- vironmental factors. These variations may also be due to changes in the electricity use behaviours of electricity users. This study seeks to model daily profiles of energy demand in South Africa with a model which is a composition of two de Moivre type models. The model has seven parameters, each with a natural interpretation (one parameter representing minimum demand in a day, two parameters representing the time of morning and afternoon peaks, two parameters representing the shape of each peak, and two parameters representing the total energy per peak). With the help of this model, we trace change in the demand profile over a number of years. The proposed model will be helpful for short to long term electricity demand forecasting.
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Lai, Chiu-cheong. "Electricity use and its conservation potential in the commercial sector : a case study in Hong Kong /." [Hong Kong : University of Hong Kong], 1993. http://sunzi.lib.hku.hk/hkuto/record.jsp?B13498423.

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Huss, William Reed. "Load forecasting for electric utilities /." The Ohio State University, 1985. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487263399023837.

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Si, Yau-li. "Forecasts of electricity demand and their implication for energy developments in Hong Kong." [Hong Kong : University of Hong Kong], 1990. http://sunzi.lib.hku.hk/hkuto/record.jsp?B13009102.

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Chawdhry, P. K. "Identification of boiler-turbine systems in electric power stations." Thesis, Queen's University Belfast, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.372987.

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Chiu, Yuk Ha. "A cross-country empirical study on electricity demand /." View abstract or full-text, 2004. http://library.ust.hk/cgi/db/thesis.pl?ECON%202004%20CHIU.

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Thesis (M. Phil.)--Hong Kong University of Science and Technology, 2004.
Includes bibliographical references (leaves 33-35). Also available in electronic version. Access restricted to campus users.
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Gopalakrishnan, Chandra. "Effectiveness of electrical demand reduction strategies." Morgantown, W. Va. : [West Virginia University Libraries], 2004. https://etd.wvu.edu/etd/controller.jsp?moduleName=documentdata&jsp%5FetdId=3776.

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Thesis (M.S.)--West Virginia University, 2004.
Title from document title page. Document formatted into pages; contains viii, 75 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 74-75).
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Modlin, Danny Robert. "Utilizing time series analysis to forecast long-term electrical consumption /." Electronic version (PDF), 2006. http://dl.uncw.edu/etd/2006/modlind/dannymodlin.pdf.

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Sarris, Emmanouil. "Naval ship propulsion and electric power systems selection for optimal fuel consumption." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/68573.

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Thesis (Nav. E.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering; and, (S.M. in Engineering and Management)--Massachusetts Institute of Technology, Engineering Systems Division, System Design and Management Program, 2011.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. [100]-102).
Although propulsion and electric power systems selection is an important part of naval ship design, respective decisions often have to be made without detailed ship knowledge (resistance, propulsors, etc.). Propulsion and electric power systems have always had to satisfy speed and ship-service power requirements. Nowadays, increasing fuel costs are moving such decisions towards more fuel-efficient solutions. Unlike commercial ships, naval ships operate in a variety of speeds and electric loads, making fuel consumption optimization challenging. This thesis develops a flexible decision support tool in Matlab® environment, which identifies the propulsion and ship-service power generation systems configuration that minimizes fuel consumption for any ship based on its operating profile. Mechanical-driven propulsion systems with or without propulsion derived ship-service power generation, separate ship-service systems and integrated power systems are analyzed. Modeling includes hull resistance using the Holtrop-Mennen method requiring only basic hull geometry information, propeller efficiencies using the Wageningen B series and transmission and prime movers fuel efficiencies. Propulsion and ship-service power generation systems configuration is optimized using the genetic algorithm. US Navy's Advanced Surface Ship Evaluation Tool (ASSET) model for the DDG-51 Flight I destroyer was used for modeling validation. Optimal fuel consumption results are compared against the existing configuration for the DDG-51 Flight I destroyer using a representative operating profile.
by Emmanouil Sarris.
S.M.in Engineering and Management
Nav.E.
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Books on the topic "Electric power consumption – Nigeria"

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Electricity development in Nigeria. Ibadan, Nigeria: Spectrum Books, 2008.

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Estomin, Steven. Forecasted electric power demands for the Potomac Electric Power Company. [Annapolis, Md.]: The Program, 1988.

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Munasinghe, Mohan. Electric power economics: Selected works. London: Butterworths, 1990.

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Alagh, Yoginder K. Power economics in Gujarat. New Delhi: Har-Anand Publications, 1998.

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Stump, Lisa, Parveen Baig, and Leslie Cleveland. Facts concerning the consumption and production of electric power in Iowa. Edited by Iowa Utilities Board. Des Moines, Iowa: Iowa Utilities Board, Dept. of Commerce, 2000.

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Zipper, Carl E. Assessment of Virginia coalfield region capability to support an electric power generation industry. Blacksburg, Va: Virginia Center for Coal and Energy Research, Virginia Polytechnic and State Iniversity, 1994.

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Baĭnev, V. F. Ėlektropotreblenie i ekonomii︠a︡ zhyvova truda: potrebitelńo-stoimostnyĭ analiz. Saransk: Izd-vo Mordovskogo universiteta, 1998.

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ʻAbduh, Saʻīd Aḥmad. Jughrāfīyat al-ṭāqah al-kahrabāʼīyah fī al-minṭaqah al-janūbīyah bi-al-Mamlakah al-ʻArabīyah al-Saʻūdīyah. [Cairo: s.n.], 1985.

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Kazuhiro, Morita, ed. Mijika na denki setsuden no chishiki: Q & A keishiki. Tōkyō: Ōmusha, 2011.

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Parikh, Jyoti K. Planning for demand side management in the electricity sector. Bombay: Indira Gandhi Institute of Development Research, 1994.

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Book chapters on the topic "Electric power consumption – Nigeria"

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Seliverstova, Anastasiya V., Darya A. Pavlova, Slavik A. Tonoyan, and Yuriy E. Gapanyuk. "The Time Series Forecasting of the Company’s Electric Power Consumption." In Advances in Neural Computation, Machine Learning, and Cognitive Research II, 210–15. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01328-8_24.

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Panchal, R., and B. Kumar. "Forecasting industrial electric power consumption using regression based predictive model." In Recent Trends in Communication and Electronics, 135–39. London: CRC Press, 2021. http://dx.doi.org/10.1201/9781003193838-26.

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Jing, Feng, and Pan Anding. "The Effect of Guangzhou’s Temperature Change to the Electric Power Consumption." In Advances in Intelligent and Soft Computing, 439–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-25349-2_58.

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Usifo, F. O., and Eromosele Oria Usifo. "Elimination of Frequent Electric Power Interruption Due to Lightning Discharge in Nigeria." In Advanced Materials Research, 111–16. Stafa: Trans Tech Publications Ltd., 2007. http://dx.doi.org/10.4028/0-87849-450-2.111.

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de Queiroz, Alynne C. S., and José Alfredo F. Costa. "Behavior Pattern Recognition in Electric Power Consumption Series Using Data Mining Tools." In Intelligent Data Engineering and Automated Learning - IDEAL 2012, 522–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32639-4_64.

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Fong, Simon, Meng Yuen, Raymond K. Wong, Wei Song, and Kyungeun Cho. "Real-Time Stream Mining Electric Power Consumption Data Using Hoeffding Tree with Shadow Features." In Advanced Data Mining and Applications, 775–87. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49586-6_56.

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Nikończuk, Piotr, and Wojciech Tuchowski. "Analysis of Electric Power Consumption by the Heat Pump Used in the Spray Booth." In Sustainable Design and Manufacturing 2020, 555–62. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8131-1_49.

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Yao, Jie, Jin Zhu, and Wei Gao. "Historical and Status Quo Analysis on the Production and Consumption of China’s Electric Power Energy." In Lecture Notes in Electrical Engineering, 595–600. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27296-7_91.

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Kulakova, Ekaterina, Vadim Kushnikov, Andrey Lazarev, and Inessa Borodich. "Models for Determining the Electric Power Consumption in the Water Recycling System at an Industrial Enterprise." In Recent Research in Control Engineering and Decision Making, 378–90. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-65283-8_31.

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Tavarov, S. S., and A. I. Sidorov. "Power Consumption Modeling in Urban Electric Networks of 0.4–10 kV of the Republic of Tajikistan." In Lecture Notes in Electrical Engineering, 866–76. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71119-1_84.

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Conference papers on the topic "Electric power consumption – Nigeria"

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Oviroh, Peter Ozaveshe, Tien-Chien Jen, Nosa Idusuyi, and Olushola Gbadeyan. "Comparative Energy Cost Analysis of Hybrid System and Diesel Generator in Powering Selected Base Transceiver Stations in Nigeria." In ASME 2017 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/imece2017-71212.

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The rapid increase in global communication infrastructure in developing countries has drawn significant attention to the telecom sector. However, the dismal performance of the power sector in some countries like Nigeria poses a great challenge to the telecom industry which requires a reliable, efficient and environmentally friendly energy supply. Unstable electric grids, an erratic power supply, non-availability of trained and skilled personnel, and a prohibitive cost of site maintenance cumulatively have increased the need to harness abundant renewable energy sources, such as solar and wind. A comparative study of the viability of solar-diesel hybrid against diesel-only generator systems in powering a base station using the cost of kilowatt hour (kWh) self-generated electricity and levelised cost of energy (LCOE) was undertaken using data from some sites located in the Southwest (SW) and the Northeast (NE) regions of Nigeria. Homer Pro Software was used in data analysis. The results obtained showed that with a hybrid energy system (solar and diesel generator), there were 79% savings in fuel consumption, 83.2% savings in operation and maintenance cost for the hybrid energy system in the SW. The savings on fueling as a result of the use of hybrid systems was 86%, and the carbon footprint reduction was 76%. Furthermore, the cost of operation was reduced by 51% for Northeast. The LCOE for the solar hybrid system was determined to be $1.44 for NE1A and NE1B while that of NE2A was $1.46 and NE2B $1.47.
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Brandstetter, Pavel, Jan Vanek, and Tomas Verner. "Electric vehicle energy consumption monitoring." In 2014 15th International Scientific Conference on Electric Power Engineering (EPE). IEEE, 2014. http://dx.doi.org/10.1109/epe.2014.6839444.

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Isah, Abubakar, Ameer Mohammed, and Aminu Hamza. "Electric Power-Assisted Steering: A Review." In 2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf). IEEE, 2019. http://dx.doi.org/10.1109/nigeriacomputconf45974.2019.8949620.

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Kott, M. "The electricity consumption in polish households." In 2015 Modern Electric Power Systems (MEPS). IEEE, 2015. http://dx.doi.org/10.1109/meps.2015.7477166.

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Cherkassky, Vladimir, Sohini Roy Chowdhury, Volker Landenberger, Saurabh Tewari, and Paul Bursch. "Prediction of electric power consumption for commercial buildings." In 2011 International Joint Conference on Neural Networks (IJCNN 2011 - San Jose). IEEE, 2011. http://dx.doi.org/10.1109/ijcnn.2011.6033285.

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Hobby, John D. "Constructing Demand Response Models for Electric Power Consumption." In 2010 1st IEEE International Conference on Smart Grid Communications (SmartGridComm). IEEE, 2010. http://dx.doi.org/10.1109/smartgrid.2010.5622075.

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Murata, H., and T. Onoda. "Estimation of power consumption for household electric appliances." In 9th International Conference on Neural Information Processing. IEEE, 2002. http://dx.doi.org/10.1109/iconip.2002.1201903.

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Vitaliy, Kuznetsov, Tryputen Nikolay, and Kuznetsova Yevheniia. "Evaluating the Effect of Electric Power Quality upon the Efficiency of Electric Power Consumption." In 2019 IEEE 2nd Ukraine Conference on Electrical and Computer Engineering (UKRCON). IEEE, 2019. http://dx.doi.org/10.1109/ukrcon.2019.8879841.

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Yan, Qin, Bei Zhang, and Mladen Kezunovic. "Optimization of electric vehicle movement for efficient energy consumption." In 2014 North American Power Symposium (NAPS). IEEE, 2014. http://dx.doi.org/10.1109/naps.2014.6965467.

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Hassan, M. K., N. Aziah, H. M. I. Nizam., A. G. A. Mutalib, S. F. Toha, and B. S. K. K. Ibrahim. "A comparative study of power consumption of electric power steering system." In 2012 IEEE International Conference on Power and Energy (PECon). IEEE, 2012. http://dx.doi.org/10.1109/pecon.2012.6450201.

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Reports on the topic "Electric power consumption – Nigeria"

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Boero, Riccardo. Electric Power Consumption Coefficients for U.S. Industries: Regional Estimation and Analysis. Office of Scientific and Technical Information (OSTI), July 2017. http://dx.doi.org/10.2172/1372806.

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Mai, Trieu T., Paige Jadun, Jeffrey S. Logan, Colin A. McMillan, Matteo Muratori, Daniel C. Steinberg, Laura J. Vimmerstedt, Benjamin Haley, Ryan Jones, and Brent Nelson. Electrification Futures Study: Scenarios of Electric Technology Adoption and Power Consumption for the United States. Office of Scientific and Technical Information (OSTI), June 2018. http://dx.doi.org/10.2172/1459351.

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Mante, Ofei D. Sub-Saharan Africa Is Lighting Up: Uneven Progress on Electrification. RTI Press, November 2018. http://dx.doi.org/10.3768/rtipress.2018.op.0056.1811.

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This research paper provides a regional review of the state of electricity access in Sub-Saharan Africa (SSA), focusing on installed capacity, electricity generation, the growth of renewable energy, electricity consumption, government investment, public financial flows, and several major initiatives. The study contrasts electrification between 1990 and 2010 with recent efforts and identifies countries that are consistently making progress and those that lag. The analyses show signs of progress on scaling up SSA power infrastructure and increasing electricity access, particularly in the Eastern and Western sub-regions. The installed generation capacity expanded at an average rate of 2.43 GW/year between 2005 and 2015. Renewable energy is growing, particularly solar, wind, and geothermal; about 9.7 GW of renewable energy capacity was installed between 2010 and 2016. Over this period, the net electricity generation in SSA increased at 9.1 TWh/year, more than double the historical average growth of 4.02 TWh/year (1990–2010). In general, the study found that rates of electrification across the entire region are more than twice the historical rates, and an average of at least 26 million people are now gaining access to electricity yearly. Nevertheless, progress is uneven across SSA. As of 2016, almost half of the population without electricity access live in Nigeria, DR Congo, Ethiopia, Tanzania, and Uganda. Quantitative analysis suggests that about 70 million people in SSA would have to gain access every year from 2017 to achieve universal access by 2030. Overall, SSA countries with national programs on energy access supported by policy/regulatory framework and infrastructure investment are making progress.
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