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Approximate and Reinforcement Learning techniques to solve non-convex Economic Dispatch problems.

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Factors that impact the accuracy of clustering based load forecasting., , , , , and . IAS, page 1-6. IEEE, (2015)Impedance Control of Thyristor Controlled Series Capacitor to Improve the Transfer Capability of Remote Wind Farms., , , and . IAS, page 1-6. IEEE, (2010)An Efficient Countermeasure against Correlation Power-Analysis Attacks with Randomized Montgomery Operations for DF-ECC Processor., , , and . CHES, volume 7428 of Lecture Notes in Computer Science, page 548-564. Springer, (2012)dChipSNP: significance curve and clustering of SNP-array-based loss-of-heterozygosity data., , , , , and . Bioinformatics, 20 (8): 1233-1240 (2004)Interactive model for energy management of clustered microgrids., , , and . IAS Annual Meeting, page 1-8. IEEE, (2016)Wind Power Prediction for Wind Farm Clusters Based on the Multi-feature Similarity Matching Method., , , , , , , , and . IAS, page 1-11. IEEE, (2019)Wind Farm Dynamic Equivalent Modeling Method for Power System Probabilistic Stability Assessment., , , and . IAS, page 1-7. IEEE, (2019)Residential Demand Response Considered Strategic Bidding for Load Aggregators with Soft Actor-Critic Algorithm., , and . IAS, page 1-9. IEEE, (2021)Efficient Power-Analysis-Resistant Dual-Field Elliptic Curve Cryptographic Processor Using Heterogeneous Dual-Processing-Element Architecture., , , and . IEEE Trans. VLSI Syst., 22 (1): 49-61 (2014)Optimizing Load Control in a Collaborative Residential Microgrid Environment., , , and . IEEE Trans. Smart Grid, 6 (3): 1196-1207 (2015)