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The effects of peak load demand and energy charges on the industrial use of electricity /Schwarz, Peter M. January 1980 (has links)
No description available.
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The analysis and assessment of time variant linear trends in annual economic data series with an application to energy forecasting for the state of Ohio /Feyzioglu, Galip January 1983 (has links)
No description available.
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Load forecasting for electric utilities /Huss, William Reed January 1985 (has links)
No description available.
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Forecasts of electricity demand and their implication for energy developments in Hong KongSi, Yau-li., 史有理. January 1990 (has links)
published_or_final_version / Urban Studies / Master / Master of Social Sciences
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Forecasting the monthly electricity consumption of municipalities in KwaZulu-Natal.Walton, Alison Norma. January 1997 (has links)
Eskom is the major electricity supplier in South Africa and medium term forecasting within the company is a critical activity to ensure that enough electricity is generated to support the country's growth, that the networks can supply the electricity and that the revenue derived from electricity consumption is managed efficiently. This study investigates the most suitable forecasting technique for predicting monthly electricity consumption, one year ahead for four major municipalities within Kwa-Zulu Natal. / Thesis (M.Sc.)-University of Natal, Pietermaritzburg, 1997.
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Electricity use and its conservation potential in the commercial sector : a case study in Hong Kong /Lai, Chiu-cheong. January 1993 (has links)
Thesis (M. Sc.)--University of Hong Kong, 1993.
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ELECTRICAL ENERGY PLANNING FOR ECONOMIC DEVELOPMENT IN WEST AFRICAGlakpe, Emmanuel Kobla January 1980 (has links)
In terms of economic development, internal availability of energy in a region means the capability to produce essential goods and services for the improvement in the quality of life of all the economic agents. Economic development consists in large part of harnessing increasing amounts of energy for productive purposes or by making more efficient use of available energy resources. In this dissertation, the future electricity supply and demand interactions are examined for seven countries in West Africa: Benin, Ghana, Ivory Coast, Niger, Nigeria, Togo, and Upper Volta. A description of the primary energy resources (coal, hydro, natural gas, and oil) available in each country is presented. The future demands for electricity in the medium term (1980-1989) are projected through econometric models developed in the study. Two sectorial models for each country's economy, the residential sector, and the commercial and industrial sector, are presented. Multiple regression analysis is applied in the estimation of all demand equations. Major determinants for electricity demand used in the estimation for the residential sector were average price of electricity, real personal income, and the number of households with access to electricity. Data on these variables were obtained from international organisations such as the United Nations and from government publications for the period 1960-1977. Each of these determinants was found to be significant for most countries; however, their relative importance differ across countries. Similarly, average price of electricity, real output, and employment were major determinants used and found to be significant in the demand for electricity in the commercial and industrial sector of all countries. Price and income elasticities were obtained from the estimated equations. A general multi-region supply model was developed to structure the future electricity supply possibilities in the countries involved. The objective of this model, using linear programming, was to seek the least-cost combination of resources (primary energy, capital, and technology) for the production of electricity. The impacts of various levels of resource availability on average cost of electricity were examined for each country, and for joint development efforts using a non-integer, deterministic, linear version of the general model. The application of the supply and demand models to West Africa over the decade to 1989 reveals that except for Nigeria, all countries in the region will require fossil fueled systems to supply additional demands for electricity, because all hydro resources would have to be exploited by the mid-1980s. This will lead to higher costs in producing electricity. However, Nigeria is expected to have excess electrical energy if plans initiated in its third development plan are completed. The extension of transmission lines between Nigeria and Benin could effectively distribute the relatively cheaper energy from Nigeria to other countries, since adequate transmission network already exists between most of the countries.
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Electricity theft detection on a low voltage reticulation environmentDoorduin, Riaan 12 1900 (has links)
Thesis (MScIng)--University of Stellenbosch, 2004. / ENGLISH ABSTRACT: Electricity theft in South Africa has become a major problem. This led to several developments
from both industries and research institutes to counter these actions. Since equipment is already
installed and major capital has been invested to provide electricity for a broad spectrum
of consumers, the challenge is to find a low cost solution harnessing current investments and
technology to detect electricity theft more accurately.
This thesis investigates into the electricity theft topic. Two different methods, Time Domain
Pulse Reflectometry and a data driven platform based on the Theory of Constraints philosophy,
were investigated to provide means to detect and determine the impact of illegal electricity
usage. Both methods required detailed designs to conduct preliminary proof of concept tests in
a laboratory environment.
These methods are evaluated against their economical viability, possible practical implications
and applications. This thesis presents a practical approach to electricity theft detection
and provides the basic tools for management of this ever-increasing problem. / AFRIKAANSE OPSOMMING: Suid Afrika se elektrisiteit diefstal statistiek het die afgelope jare skrikwekkend gegroei. Dit het
die industrie genoop om baie meer navorsing in die area te doen. Met reeds gevestigde toerusting
en tegnologie om di´e energie medium so effektief moontlik te versprei, is die uitdaging juis
om ’n ekonomiese oplossing te vind om reeds beskikbare tegnologie¨e meer doeltreffend aan te
wend.
Die doel van die tesis is om die gebied van elektrisiteit diefstal na te vors. Twee verskillende
metodes is ondersoek, naamlik Tydgebied-pulse-reflektometrie en ’n informasie gebaseerde
stelsel wat op die Randvoorwaarde Teorie gebaseer is, om effektief die omvang van elektrisiteit
diefstal in ’n mikro, asook makro omgewing te bepaal. Die twee metodes is in ’n beheerde
omgewing getoets sodat die konsepte wat ontwikkel is bewys kon word.
Die metodes is ge-evalueer in terme van die ekonomiese lewensvatbaarheid daarvan met inagneming
van die praktiese implikasies. Die tesis bied bestuur die nodige kennis om elektrisiteit
diefstal in die praktyk doeltreffend die hok mee te slaan.
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Effective use of artificial intelligence in predicting energy consumption and underground dam levels in two gold mines in South Africa12 February 2015 (has links)
D.Ing. (Electrical and Electronic Engineering) / The electricity shortage in South Africa has required the implementation of demand side management (DSM) projects. The DSM projects were implemented by installing energy monitoring and control systems to monitor certain mining aspects such as water pumping systems. Certain energy saving procedures and control systems followed by the mining industry are not sustainable and must be updated regularly in order to meet any changes in the water pumping system. In addition, the present water pumping, monitoring, and control system does not predict the energy consumption or the underground water dam levels. Hence, there is a need to introduce new monitoring system that could control and predict the energy consumption of the underground water pumping system and dam levels based on present and historical data. The work is undertaken to investigate the feasibility of using artificial intelligence in certain aspects of the mining industry. If successful, artificial intelligence systems could lead to improved safety and reduced electrical energy consumption, and decreased human error that could occur throughout the pump station monitoring and control process ...
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Residential customer acceptance and response to time-of-use electricity tariffs18 March 2015 (has links)
M.Com. (Business Management) / The residential demand profile for electricity shows that this segment of the market has. a great demand in the morning and early evening. Due to a shortage of generation capacity during these peak consumption periods, different strategies are now needed to persuade customers to use their electricity in the periods when there is not a great demand. One way in which this can be achieved is to give the customers a time differentiated tariff i.e. a time-of-use (TOU) tariff, whereby the customer will pay a high energy rate in the peak periods, and lower energy rates in the off-peak and standard periods. The overall goal of this study was to determine to what extent residential customers would respond to such a tariff The study covered three consumption groups i.e. customers using more than 1500 kWh per month, between 600 and 1000 kWh per month, and between 300 and 600 kWh per month. All the customers taking part in the study were direct Eskom customers. Once the customers had agreed to participate in the study, they had TOU measuring equipment installed in their homes, which measured their consumption according to the time of day it was consumed.
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