Predicting initial electricity demand in off-grid Tanzanian communities using customer survey data and machine learning models-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Predicting initial electricity demand in off-grid Tanzanian communities using customer survey data and machine learning models

Published:2021-06 Issue: Volume:62 Page:56-66
ISSN:0973-0826
Container-title:Energy for Sustainable Development
language:en
Short-container-title:Energy for Sustainable Development

Author:

Allee Andrew,Williams Nathaniel J.,Davis Alexander,Jaramillo Paulina

Funder

NSF

USAID

National Renewable Energy Laboratory

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development

Reference41 articles.

1. Design and environmental sustainability assessment of small-scale off-grid energy systems for remote rural communities;Aberilla;Applied Energy,2020

2. Single-dwelling and community renewable microgrids: Optimal sizing and energy management for new business models;Avilés;Applied Energy,2019

3. Modelling energy demand of developing countries: Are the specific features adequately captured?;Bhattacharyya;Energy Policy,2010

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Adaptive Distributionally Robust Optimization Approach for Optimal Sizing of Hybrid Renewable Energy Systems;Journal of Optimization Theory and Applications;2024-08-26

2. Productive use of electricity in agriculture in sub-Saharan Africa: a systematic review;Progress in Energy;2024-08-20

3. Decentralization, decarbonization and digitalization in swarm electrification;Energy for Sustainable Development;2024-08

4. How do technology-inherent characteristics affect valuation processes in innovation systems?;Environmental Innovation and Societal Transitions;2024-06

5. Short-Term Electrical Load Forecasting in Power Systems Using Deep Learning Techniques;Sakarya University Journal of Science;2023-10-18

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3