Journal of Energy and Electrical Engineering (JEEE)
Vol 6, No 1: Oktober 2024

Electricity Demand Forecasting In NTT Province For 2024-2034 Using Software Low Emissions Analysis Platform (LEAP)

Ramaprilo, Vinsensius Ferreri (Unknown)
Likadja, Frans James (Unknown)



Article Info

Publish Date
10 Mar 2025

Abstract

This study aims to electricity demand forecasting and optimize New Renewable Energy (NRE) to supply electrical energy demand in East Nusa Tenggara (NTT) Province 2024-2034 using Low Emissions Analysis Platform (LEAP) Software, considering factors of population growth, economic growth, and government policies related utilization NRE and environment. The method used is a quantitative descriptive end-use model. High, medium, and low scenarios were added to make the research results more adaptive. Moreover, PLTD and PLTU are scenarios that will experience decreased installed capacity until 2034. The results of forecast electricity demand 2024-2034 in NTT Province, for the high scenario increased from 1,448.49 GWh to 2,018.56 GWh with average growth of 3.50%, medium scenario increased from 1,318.91 GWh to 1,595.31 GWh with average growth of 2.06%, low scenario increased from 1,200.10 GWh to 1,359.33 GWh with average growth of 1.39%. Optimization of NRE in the high, medium, and low scenarios shows that NRE can supply electricity demand until 2034.

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Journal Info

Abbrev

jeee

Publisher

Subject

Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

Description

JEEE is a journal that contains research results in the field of Energy and Electrical Engineering. This journal can be used as a source of scientific information for researchers, researcher academia or institution, and government agencies. The topic focused on Power Systems, Control Systems, Energy ...