Energy planning models (EPMs) play an indispensable role in policy formulation and energy
sector development. The forecasting of energy demand and supply is at the heart of an EPM …

Notice of Violation of IEEE Publication Principles" Short-Term Load Forecasting Methods: A
Review" By AK Srivastava, Ajay Shekhar Pandey and Devender Singh in the Proceedings of …

Emerging new technologies like distributed generation, distributed storage, and demand-
side load management will change the way we consume and produce energy. These …

For decision makers in the electricity sector, the decision process is complex with several
different levels that have to be taken into consideration. These comprise for instance the …

Abstract Artificial Neural Networks (ANNs) have been widely used to determine future
demand for power in the short, medium, and long terms. However, research has identified …

Electricity demand forecasting is a central and integral process for planning periodical
operations and facility expansion in the electricity sector. Demand pattern is almost very …

Electricity demand forecasting is becoming an essential tool for energy management,
maintenance scheduling and investment decisions in the future liberalized energy markets …

Load forecasting is a crucial topic in energy management systems (EMS) due to its vital role
in optimizing energy scheduling and enabling more flexible and intelligent power grid …

Adequate capacity planning requires accurate forecasts of the future magnitude and timing
of peak electricity demand. Electricity demand is affected by the day of the week, seasonal …

Urban microclimatic variations, along with a rapid reduction of unit cost of air-conditioning
(AC) equipments, can be addressed as some of the main causes of the raising residential …