Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

Dynamics of Electricity Demand in Lesotho: A Kalman Filter Approach

Domain:

environment and energysocioeconomic

Record type:

paper
Creator:
RetLebThi
Publisher:
Wal
Host:
Abstract This study provides an empirical analysis of the time-varying price and income elasticities of electricity demand in Lesotho for the period 1995-2012 using the Kalman filter approach. The results reveal that economic growth has been one of the main drivers of electricity consumption in Lesotho while electricity prices are found to play a less significant role since they are monopoly-driven and relatively low when compared to international standards. These findings imply that increases in electricity prices in Lesotho might not have a significant impact on consumption in the short-run. However, if the real electricity prices become too high over time, consumers might change their behavior and sensitivity to price and hence, energy policymakers will need to reconsider their impact in the long-run. Furthermore, several exogenous shocks seem to have affected the sensitivity of electricity demand during the period prior to regulation, which made individuals, businesses and agencies to be more sensitive to electricity costs. On the other hand, the period after regulation has been characterized by more stable and declining sensitivity of electricity demand. Therefore, factors such as regulation and changes in the country’s economic activities appear to have affected both price and income elasticities of electricity demand in Lesotho.

Visit

doi.org

Licenses

http://creativecommons.org/licenses/by-nc-nd/3.0/

Similar

A Combined Kalman Filter–LSTM to Forecast Downside Risk of BWP/USD Returns: A Bottom-Up Hierarchical ApproachModelling the electricity generation dynamics of Ghana. A Structural VAR ApproachState-space of the Vasicek model for long-term bonds with Kalman filterPrediction of Power Consumption Utilization in a Cloud Computing Data Centre using Kalman Filter parameters with Genetic AlgorithmKalman filter model, as a tool for short-term forecasting of solar potential: case of the Dakar siteLow Carbon Transition of Residential Electricity Consumption in Nigeria: A System Dynamics Modeling Approach

A Combined Kalman Filter–LSTM to Forecast Downside Risk of BWP/USD Returns: A Bottom-Up Hierarchical Approach

This paper offers a hybrid forecasting approach that merges a local-level state space Kalman filter

Modelling the electricity generation dynamics of Ghana. A Structural VAR Approach

Abstract This study estimates endogenous parameters to ascertain the dynamics in the elect

State-space of the Vasicek model for long-term bonds with Kalman filter

In this paper, a time-consistent and arbitrage-free state space for the one-, two-, and three-factor

Prediction of Power Consumption Utilization in a Cloud Computing Data Centre using Kalman Filter parameters with Genetic Algorithm

Data Centre (DC) has become a critical computing infrastructure that is essential to modern society

Kalman filter model, as a tool for short-term forecasting of solar potential: case of the Dakar site

The prediction of solar potential is an important step toward the evaluation of PV plant production

Low Carbon Transition of Residential Electricity Consumption in Nigeria: A System Dynamics Modeling Approach