Work

Forecasting of Nigeria’s Energy Demand: A Comparative Study of ARIMA, RNN, and LSTM Models

Year: 2024

Type: article

Source: International Journal of Research and Innovation in Applied Science

DOI: 10.51584/ijrias.2024.907028

Authors: Popoola Damilola Raphael, Akanji A. R

Language: English

Topic: Energy Load and Power Forecasting

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Climate action

Open Access status: closed

OpenAlex ID: W4401426129

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