Adaptive Forecasting of Hourly Loads Based on Load Measurements and Weather Information
- 1 July 1971
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Power Apparatus and Systems
- Vol. PAS-90 (4) , 1757-1767
- https://doi.org/10.1109/tpas.1971.293168
Abstract
Emphasis is placed on devising a physically meaningful procedure for hourly load forecasting. It is proposed that accurate forecasting depends on the use of both weather information and historical patterns. In order to efficiently use this information the total load is decomposed into a nominal load, a residual load and a part which reflects the known changes in the load. The forecast is made by forecasting each component load separately. Alternative procedures based on this decomposition are developed and results from a test case study are presented.Keywords
This publication has 4 references indexed in Scilit:
- Short-Term Load Forecasting Using General Exponential SmoothingIEEE Transactions on Power Apparatus and Systems, 1971
- An Application of State Estimation to Short-Term Load Forecasting, Part I: Forecasting ModelingIEEE Transactions on Power Apparatus and Systems, 1970
- An Application of State Estimation to Short-Term Load Forecasting, Part II: ImplementationIEEE Transactions on Power Apparatus and Systems, 1970
- Techniques for load prediction in the electricity-supply industryProceedings of the Institution of Electrical Engineers, 1968