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4,971 to 4,980 of 92,174 Results
real_consumer_models_sarran_override_model.dat
Aug 20, 2026 - Replication Data for: Deep reinforcement learning for coordinated air-conditioner control in groups of buildings using smart meter data
Fixed Field Text Data - 78.2 MB - MD5: 02ceb3e8dd7e1778575a6ce9f5e2f2c9
Actual models with override behaviour based on Sarran et al 2024
real_consumer_models_stochastic_override_model.dat
Aug 20, 2026 - Replication Data for: Deep reinforcement learning for coordinated air-conditioner control in groups of buildings using smart meter data
Fixed Field Text Data - 310.9 MB - MD5: 83fc5920cc453ffa08e19e41dc2ec15b
Actual models with stochastic override behaviour
SGP_Singapore.486980_IWEC.tab
Aug 20, 2026 - Replication Data for: Deep reinforcement learning for coordinated air-conditioner control in groups of buildings using smart meter data
Tabular Data - 7.7 MB - 32 Variables, 8760 Observations - UNF:6:yVOI7v3nxbWQJc7oj81xpQ==
Weather data for Singapore
Sharath Ram KUMAR (Nanyang Technological University)
Aug 20, 2026Graduate College
Bias_term_vs_M_corrected.pdf
Bias_term_vs_M_corrected.pdf
Aug 17, 2026 - Resolution and robustness bounds for reconstructive spectrometers
Adobe PDF - 27.8 KB - MD5: 817feb4da50baf0a955ab5d29805f22c
Bias_term_vs_M_corrected.svg
Aug 17, 2026 - Resolution and robustness bounds for reconstructive spectrometers
SVG Image - 62.9 KB - MD5: 34dc1cc585e37b65369c7ec124f09788
Bias_term_vs_M.pdf
Bias_term_vs_M.pdf
Aug 17, 2026 - Resolution and robustness bounds for reconstructive spectrometers
Adobe PDF - 24.0 KB - MD5: 500ae571be88be546a77c219a82cb2e9
Bias_term_vs_M.svg
Aug 17, 2026 - Resolution and robustness bounds for reconstructive spectrometers
SVG Image - 49.0 KB - MD5: 062ab63a243f9897ff1368c88b8fab0d
correlation_calculation.cpython-310.pyc
Aug 17, 2026 - Resolution and robustness bounds for reconstructive spectrometers
Unknown - 3.0 KB - MD5: 007829727ec89ab91c63ffcdb125d41c
correlation_calculation.py
Aug 17, 2026 - Resolution and robustness bounds for reconstructive spectrometers
Python Source Code - 3.9 KB - MD5: 69ed07b3046cdf3295d11433d06a30a9
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