---
title: Optimizing Predictive Analytics for Energy Consumption Forecasting: A Case Study in the Nigerian Power Sector
url: https://www.ml-quant.com/papers/ssrn/4946145/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: SSRN 4946145
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4946145
featured: 2024-09-05
citations: 0
topic: Econometrics & Forecasting
---


# Optimizing Predictive Analytics for Energy Consumption Forecasting: A Case Study in the Nigerian Power Sector

The study applies predictive analytics and machine learning to enhance energy efficiency in Nigeria's power sector.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4946145
- Identifier: SSRN 4946145
- Released: 2023-05-24
- First featured: Quant Letter No. 64 (2024-09-05): https://www.ml-quant.com/issues/2024-09-05/
- Citations (Semantic Scholar): 0
- Published in: not yet
- Topic: Econometrics & Forecasting

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