{"id":"W4404035338","doi":"10.2139/ssrn.5009204","title":"Energy Scheduling and Economic Assessment of a Rural Microgrid Using Two-Stage Stochastic Framework","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Microgrid; Scheduling (production processes); Stage (stratigraphy); Environmental economics; Computer science; Energy (signal processing); Operations research; Economics; Business; Natural resource economics; Operations management; Engineering; Mathematics; Statistics; Control (management); Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001449293,0.001004554,0.001685924,0.0005342161,0.0004878525,0.001493925,0.001402898,0.001687772,0.003840201],"category_scores_gemma":[0.002183057,0.0008274099,0.001044983,0.0008552978,0.0008525151,0.001083766,0.001033479,0.0009974104,0.0002249339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001447637,"about_ca_system_score_gemma":0.001422035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02205274,"about_ca_topic_score_gemma":0.01291698,"domain_scores_codex":[0.9993908,0.0003110957,0.00001460143,0.00009449046,0.00005613007,0.000132841],"domain_scores_gemma":[0.9988674,0.0006904631,0.0001533134,0.0000378456,0.000139805,0.0001111833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005892811,0.00001573575,0.0001799059,0.00001107924,0.000008779756,0.00003932998,0.000004690282,0.9974101,0.0001812521,0.001627249,0.00007027594,0.0003927065],"study_design_scores_gemma":[0.000009439616,0.00002378262,0.0001256056,8.855331e-7,0.000005152721,0.000004169017,0.000007525998,0.9991428,0.00003794028,0.0006037792,0.00003579318,0.00000317634],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6952778,0.0005427802,0.2853334,0.001144157,0.0000910145,0.0002002278,0.001068598,0.0002549668,0.01608714],"genre_scores_gemma":[0.9905517,0.0001257031,0.004765294,0.0000284896,0.00002211801,0.00004481893,0.0001217005,0.00002400752,0.004316184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02205274,"threshold_uncertainty_score":0.04384875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008031881957715505,"score_gpt":0.2601657338807396,"score_spread":0.2521338519230241,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}