Print Email Facebook Twitter Forecasting the load of electrical power systems in mid- and long-term horizons Title Forecasting the load of electrical power systems in mid- and long-term horizons: A review Author Khuntia, S.R. (TU Delft Intelligent Electrical Power Grids) Rueda, José L. (TU Delft Intelligent Electrical Power Grids) van der Meijden, M.A.M.M. (TU Delft Intelligent Electrical Power Grids; TenneT TSO B.V.) Date 2016 Abstract Load forecasting has always been an important part in the planning and operation of electric utilities, i.e., both transmission and distribution companies. With technological advancement, change in economic condition and many other factors (to be discussed in this work), load forecasting is becoming more important. The forecast affects as well as gets affected because of the load impacting factors and actions taken in different time horizons. However, due to its stochastic and uncertainty characteristics, it has been one challenging problem for electrical utilities to accurately forecast future load demand. This paper aims at reviewing the different load forecasting techniques developed for the mid- and long-term horizons of electrical power systems. Since there has never been an explicit literature study of the various forecasting techniques for mid- and long-term horizons, this paper reviews techniques for each of the forecasting horizons, citing various methodologies developed so far supported by published literature. The study is concluded with discussion on future research directions. Subject load forecasting To reference this document use: http://resolver.tudelft.nl/uuid:a39ae041-6d10-4aa0-b58d-ba35010737de DOI https://doi.org/10.1049/iet-gtd.2016.0340 ISSN 1751-8687 Source IET Generation, Transmission and Distribution, 10 (16), 3971-3977 Part of collection Institutional Repository Document type journal article Rights © 2016 S.R. Khuntia, José L. Rueda, M.A.M.M. van der Meijden Files PDF 5051343.pdf 570.99 KB Close viewer /islandora/object/uuid:a39ae041-6d10-4aa0-b58d-ba35010737de/datastream/OBJ/view