This paper presents the analysis of the impact of weather conditions on the maximum electricity demand in Qatar during the whole year 2012. It points out the maximum daily air temperature as the most influential climate (meteorological) parameter. Correlation between maximum daily temperature and maximum daily electricity demand are also indicated and analyzed. It is noticed that there is a linear correlation between these two variables for maximum temperature values above 22°C because of the air-conditioning type of the major load. During extremely hot summer periods, there is a tendency of increased electricity consumption because of air conditioning. A timely and accurate weather forecast can certainly help prevent the electrical power s...
Accurate prediction of electricity demand is a critical step in balancing the grid. Many factors inf...
System Control Centre (SCC) of Ceylon Electricity Board (CEB) conducts short term (hour ahead, day a...
This paper estimates the relationship between temperature and residential electricity consumption by...
Rising global temperatures in the Arabian Peninsula region caused by climate change have increased t...
Background: Efficient production and reliable availability of electricity requires comprehensive und...
In the current context, climate change has become an unequivocal phenomenon. Although it primarily e...
An econometric model is developed to forecast electricity consumption and study the impact of ambien...
This study assesses the electricity demand pattern in the relatively temperate climate of the Nether...
The present paper proposes the impact of the air temperature on electricity demand as expected. The ...
Qatar is known to be one of the most energy-intensive countries in the world, yet very little is kno...
Amidst the backdrop of global warming, the unstable climate presents challenges to the secure operat...
This study assesses the electricity demand pattern in the relatively temperate climate of the Nether...
This paper examines and analyses weather data in Oman to re-encode the appropriate climate dimension...
We model the electricity consumption in the market segment that compose the Qatari electricity marke...
In several regions worldwide, demand for electricity can be highly dependent on weather conditions. ...
Accurate prediction of electricity demand is a critical step in balancing the grid. Many factors inf...
System Control Centre (SCC) of Ceylon Electricity Board (CEB) conducts short term (hour ahead, day a...
This paper estimates the relationship between temperature and residential electricity consumption by...
Rising global temperatures in the Arabian Peninsula region caused by climate change have increased t...
Background: Efficient production and reliable availability of electricity requires comprehensive und...
In the current context, climate change has become an unequivocal phenomenon. Although it primarily e...
An econometric model is developed to forecast electricity consumption and study the impact of ambien...
This study assesses the electricity demand pattern in the relatively temperate climate of the Nether...
The present paper proposes the impact of the air temperature on electricity demand as expected. The ...
Qatar is known to be one of the most energy-intensive countries in the world, yet very little is kno...
Amidst the backdrop of global warming, the unstable climate presents challenges to the secure operat...
This study assesses the electricity demand pattern in the relatively temperate climate of the Nether...
This paper examines and analyses weather data in Oman to re-encode the appropriate climate dimension...
We model the electricity consumption in the market segment that compose the Qatari electricity marke...
In several regions worldwide, demand for electricity can be highly dependent on weather conditions. ...
Accurate prediction of electricity demand is a critical step in balancing the grid. Many factors inf...
System Control Centre (SCC) of Ceylon Electricity Board (CEB) conducts short term (hour ahead, day a...
This paper estimates the relationship between temperature and residential electricity consumption by...