Accurate prediction of long-term electricity demand has a significant role in demand side management and electricity network planning and operation. Demand over-estimation results in over-investment in network assets, driving up the electricity prices, while demand underestimation may lead to under-investment resulting in unreliable and insecure electricity. In this manuscript, we apply deep ne...

Development of every society is incumbent upon energy sector’s technological and economic effectiveness. The electricity industry is a growing and needs to have a better performance to effectively cover the demand. The industry requires a balance between cost and efficiency through careful design and planning. In this paper, a two-stage stochastic programming model is presented for the design o...

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...