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Articles 1 - 3 of 3
Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
Solar Irradiance Forecasting Using Deep Neural Networks, Ahmad Alzahrani, Pourya Shamsi, Cihan H. Dagli, Mehdi Ferdowsi
Solar Irradiance Forecasting Using Deep Neural Networks, Ahmad Alzahrani, Pourya Shamsi, Cihan H. Dagli, Mehdi Ferdowsi
Electrical and Computer Engineering Faculty Research & Creative Works
Predicting solar irradiance has been an important topic in renewable energy generation. Prediction improves the planning and operation of photovoltaic systems and yields many economic advantages for electric utilities. The irradiance can be predicted using statistical methods such as artificial neural networks (ANN), support vector machines (SVM), or autoregressive moving average (ARMA). However, they either lack accuracy because they cannot capture long-term dependency or cannot be used with big data because of the scalability. This paper presents a method to predict the solar irradiance using deep neural networks. Deep recurrent neural networks (DRNNs) add complexity to the model without specifying …
A Robust Unit Commitment Algorithm For Hydro-Thermal Optimization, Chao-An Li, Chung-Li Tseng, E. Hsu, R. B. Johnson, A. J. Svoboda
A Robust Unit Commitment Algorithm For Hydro-Thermal Optimization, Chao-An Li, Chung-Li Tseng, E. Hsu, R. B. Johnson, A. J. Svoboda
Engineering Management and Systems Engineering Faculty Research & Creative Works
This paper presents a unit commitment algorithm which combines the Lagrangian relaxation (LR), sequential unit commitment (SUC), and optimal unit decommitment (UD) methods to solve a general hydro-thermal optimization (HTO) problem. The authors argue that this approach retains the advantages of the LR method while addressing the method''s observed weaknesses to improve overall algorithm performance and quality of solution. The proposed approach has been implemented in a version of PG&E''s HTO program, and test results are presented.
Electric Power Transmission & Purchases : Report Of A Study By The Joint Standing Committee On Utilities, 112th Maine Legislature, Maine. Legislature. Joint Standing Committee On Utilities
Electric Power Transmission & Purchases : Report Of A Study By The Joint Standing Committee On Utilities, 112th Maine Legislature, Maine. Legislature. Joint Standing Committee On Utilities
Maine Collection
Electric Power Transmission & Purchases : Report Of a Study By the Joint Standing Committee on Utilities, 112th Maine Legislature
Maine Legislature. Joint Standing Committee on Utilities.
Augusta, Maine (December 2, 1986).
Contents: Introduction / Issues & Recommendations / Review of 1986 Legislation / Maine's Electric Power Picture / Technical Analysis of Transmission & Wheeling / Economic Implications of Transmission & Wheeling /. Legals Analysis of Transmission & Wheeling / Proposed Legislation / Appendices / Tables & Figures