Wang Yongli, Jeanne baptiste Niyigena, Vedaste Ndayishimiye
{"title":"Renewable energy access in Rwanda: Electricity Price Forecasting","authors":"Wang Yongli, Jeanne baptiste Niyigena, Vedaste Ndayishimiye","doi":"10.1109/PowerAfrica49420.2020.9219920","DOIUrl":null,"url":null,"abstract":"Africa has very little electricity supply yet endowed with abundant renewable energy sources (RES). According to the 2014 World Bank series on energy and extractive industries, Rwanda has very low electrification levels. She has renewable energy potential for solar, hydro, methane gas, biomass, geothermal energy and currently investigations on wind is underway. Rwanda still boosts low access to electricity and high electricity prices compared to her neighboring countries. This paper proposes a new electricity pricing model that can be used to forecast the price in the Rwandan electricity market that is projected to be dominated with RES. In this research, the fuzzy logic model is applied to show that the price of electricity can be reduced to a significant extend.","PeriodicalId":325937,"journal":{"name":"2020 IEEE PES/IAS PowerAfrica","volume":"84 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE PES/IAS PowerAfrica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PowerAfrica49420.2020.9219920","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Africa has very little electricity supply yet endowed with abundant renewable energy sources (RES). According to the 2014 World Bank series on energy and extractive industries, Rwanda has very low electrification levels. She has renewable energy potential for solar, hydro, methane gas, biomass, geothermal energy and currently investigations on wind is underway. Rwanda still boosts low access to electricity and high electricity prices compared to her neighboring countries. This paper proposes a new electricity pricing model that can be used to forecast the price in the Rwandan electricity market that is projected to be dominated with RES. In this research, the fuzzy logic model is applied to show that the price of electricity can be reduced to a significant extend.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
