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Climate-Land-Energy-Water Systems

SCOPE: Demand Modelling for Clean Energy

Using machine learning, surveys, and qualitative approaches to model clean energy demand and inform deployment strategies.

Completed 2023–2024 RCEES, UENR
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About this project

Overview

Using machine learning, surveys, and qualitative approaches to model clean energy demand and inform deployment strategies.

Detailed narrative, research problem framing, and impact statement to be expanded.

What we’re doing

Objectives & Scope

Primary objectives

  1. Model clean energy demand using ML and surveys
  2. Identify barriers to clean energy adoption in Ghana
  3. Develop evidence-based deployment strategies
  4. Inform national clean cooking and electrification targets

Scope

Geographic focusSub-Saharan Africa (refine per project)
Thematic areaClimate-Land-Energy-Water Systems
Duration2023–2024
FunderLoughborough University
LeadDr. Gifty Serwaa Mensah
MethodologyTo be added
Project phases

Timeline & Milestones

Inception
2023
Fieldwork
Analysis
Dissemination
2024

Phases shown are indicative; specific milestones to be added.

Who is involved

Team Members

DG
Dr. Gifty Serwaa Mensah
Principal Investigator
RCEES, UENR
+
Co-investigators
To be listed
+
Research fellows & students
To be listed
Collaboration

Partners & Funders

Partner institutions

UENR
Loughborough University
Funded by: Loughborough University

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What we’ve produced

Outputs & Publications

Peer-reviewed articles, policy briefs, datasets and conference presentations from this project will be listed here.

For now, see the Centre’s full publications list.

Get in touch

Contact

Lead researcherDr. Gifty Serwaa Mensah
Emailinfo.rcees@uenr.edu.gh
PostalRegional Centre for Energy and Environmental Sustainability (RCEES), University of Energy and Natural Resources, Sunyani, Ghana
Send an enquiry

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