Forecasting electricity demand in South Africa using artificial intelligence

Forecasting electricity demand in South Africa using artificial intelligence

D.Phil. (Electrical and Electronic Engineering) === This thesis introduces a novel artificial intelligence technique called extreme learning machines (ELM) and structural causal models (SCM) for forecasting electricity consumption using time series and causality approaches. Time series data is used...

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Main Author: Marwala, Lufuno Ronald
Published: 2015
Online Access:http://hdl.handle.net/10210/14626
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spelling ndltd-netd.ac.za-oai-union.ndltd.org-uj-uj-141832017-09-16T04:01:22ZForecasting electricity demand in South Africa using artificial intelligenceMarwala, Lufuno RonaldD.Phil. (Electrical and Electronic Engineering)This thesis introduces a novel artificial intelligence technique called extreme learning machines (ELM) and structural causal models (SCM) for forecasting electricity consumption using time series and causality approaches. Time series data is used to construct univariate models for forecasting a one step ahead electricity consumption on a monthly basis. For causal analysis, the study is novel in that it mathematically models the relationship between electricity consumption and production levels in the manufacturing sector and mining sector in South Africa...2015-09-28Thesisuj:14183http://hdl.handle.net/10210/14626University of Johannesburg
collection NDLTD
sources NDLTD
description D.Phil. (Electrical and Electronic Engineering) === This thesis introduces a novel artificial intelligence technique called extreme learning machines (ELM) and structural causal models (SCM) for forecasting electricity consumption using time series and causality approaches. Time series data is used to construct univariate models for forecasting a one step ahead electricity consumption on a monthly basis. For causal analysis, the study is novel in that it mathematically models the relationship between electricity consumption and production levels in the manufacturing sector and mining sector in South Africa...
author Marwala, Lufuno Ronald
spellingShingle Marwala, Lufuno Ronald
Forecasting electricity demand in South Africa using artificial intelligence
author_facet Marwala, Lufuno Ronald
author_sort Marwala, Lufuno Ronald
title Forecasting electricity demand in South Africa using artificial intelligence
title_short Forecasting electricity demand in South Africa using artificial intelligence
title_full Forecasting electricity demand in South Africa using artificial intelligence
title_fullStr Forecasting electricity demand in South Africa using artificial intelligence
title_full_unstemmed Forecasting electricity demand in South Africa using artificial intelligence
title_sort forecasting electricity demand in south africa using artificial intelligence
publishDate 2015
url http://hdl.handle.net/10210/14626
work_keys_str_mv AT marwalalufunoronald forecastingelectricitydemandinsouthafricausingartificialintelligence
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