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Ibrahim Moghram
Researcher at Virginia Tech
Publications - 4
Citations - 1307
Ibrahim Moghram is an academic researcher from Virginia Tech. The author has contributed to research in topics: Consensus forecast & Exponential smoothing. The author has an hindex of 3, co-authored 4 publications receiving 1251 citations.
Papers
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Analysis andEvaluation ofFiveShort-Term Load Forecasting Techniques
Ibrahim Moghram,Saifur Rahman +1 more
TL;DR: A comparative evaluation of five short-term load forecasting techniques is presented and the transfer function (TF) approach gave the best result, whereas for the peak winter day the TF approach resulted in the next to the worst accuracy.
Journal ArticleDOI
Analysis and evaluation of five short-term load forecasting techniques
Ibrahim Moghram,Saifur Rahman +1 more
TL;DR: In this article, a comparative evaluation of five short-term load forecasting techniques is presented, which are: 1. Multiple Linear Regression, 2. Stochastic Time Series, 3. General Exponential Smoothing, 4. State Space Method and 5. Knowledge-Based Approach.
Proceedings ArticleDOI
Application of a rule-based technique to weekly load forecast
Saifur Rahman,Ibrahim Moghram +1 more
TL;DR: In this article, a rule-based algorithm is developed that is capable of issuing a 168-hour lead-time load forecast using the FORTRAN language, but the database requirement for this algorithm does not extend beyond more than four weeks of hourly load and few weather variables.
Dissertation
Knowledge-based and statistical load forecast model development and analysis
Ibrahim Moghram,Saifur Rahman +1 more
TL;DR: The work reported in this dissertation deals with the development of a comprehensive load forecasting system that utilizes both the statistical and rule-based approaches and overcomes the deficiencies that exist in both of these modeling techniques.