Egypt is considering initiatives to deploy renewable energies, such as solar and wind; these would be financed through national and international public funds and private investment. Direct and induced impacts of investments could be significant drivers of socioeconomic development in Egypt, which currently has high level of poverty and unemployment plus volatile economic growth due to recent p...

Assessment of the electricity market shows that, electricity market data can be considered "big data". this data has been analyzed by both conventional and modern data mining methods. The predicted variables of supply and demand are considered to be the input of a defined multi-objective for predicting electricity price, which is the result of the defined model. This shows the advantage of appl...

" …the price of electricity was found to be a significant determinant of electricity demand in most cases with the expected inverse relationship (higher prices mean less consumption).The results provided no evidence that the responsiveness of Ontario industrial demand to the price of electricity during time periods when demand is the strongest has strengthened since market opening except, perha...

Weather forecasts are an important input to many electricity demand forecasting models. This study investigates the use of weather ensemble predictions in electricity demand forecasting for lead times from one to 10 days ahead. A weather ensemble prediction consists of 51 scenarios for a weather variable. We use these scenarios to produce 51 scenarios for the weather-related component of electr...

The energy use increases rapidly due to growth in population, urbanization, and economic growth. Residential electricity consumption has an important place in the rapidly growing electricity consumption in India. Most of the studies that are carried out for energy planning in India, use macrolevel data for the estimation of price and income elasticities of electricity demand. The present study ...

The multi-point values of an appropriate smoothing parameter of HP-filter algorithm for midterm electricity load demand (MELD) forecasting are proposed. The case study employs the data based on the organization of the Electricity Generating Authority of Thailand (EGAT). The research shows the growth at rate of weather and economic factors influencing to the electricity demand. The main focus of...

The forecasting of building electricity demand is certain to play a vital role in the future power grid. Given the deployment of intermittent renewable energy sources and the ever increasing consumption of electricity, the generation of accurate building-level electricity demand forecasts will be valuable to both grid operators and building energy management systems. The literature is rich with...

This paper presents estimates of the customer-level demand for electricity by industrial and commercial customers purchasing electricity according to the half-hourly energy prices from the England and Wales (E&W) electricity market. These customers also face the possibility of a demand charge on its electricity consumption during the three half-hour periods that are coincident with E&W system p...

This chapter presents some results of an econometric analysis (developed in Patrick and Wolak 2001b) of customer-level demands for electricity of large and medium-sized industrial and commercial customers purchasing electricity under half-hourly spot prices and demand charges coincident with system peaks in the England and Wales (E&W) electricity market. These estimates can be used to forecast ...