In recent years smart metering of electricity demand has attracted attention around the world. A number of countries and regions have started deploying new metering systems; and many others have set targets for deployment or are undertaking trials. Across the board advances in technology and...

Climate stabilization requires greenhouse gas reductions (GHG) in excess of 60 percent. Ground source heat pumps (GSHPs) hold the promise of meeting heating and cooling loads much more efficiently than conventional technologies. The economic viability of their widespread adoption depends on the...

Measurement of the active, reactive, and apparent power is one of the most fundamental tasks of smart meters in energy systems. Recently, a number of studies have employed the discrete wavelet transform (DWT) for power measurement in smart meters. The most common way to implement DWT is the...

This paper set out to identify the significant variables which affect residential low voltage (LV) network demand and develop next day total energy use (NDTEU) and next day peak demand (NDPD) forecast models for each phase. The models were developed using both autoregressive integrated moving...

Demand planning for electricity consumption is a key success factor for the development of any countries. However, this can only be achieved if the demand is forecasted accurately. In this research, different forecasting methods—autoregressive integrated moving average (ARIMA), artificial...

The frequent power outages which characterises Ghana's electricity sector have raised serious concerns among policy makers and stakeholders. The causes of this problem have been cited as growing demand and inadequate investment. The objective of this study, therefore, was to identify the factors...