Bandit-Based Solar Panel Control
暂无分享,去创建一个
Michael L. Littman | David Abel | Emily Reif | Edward C. Williams | Stephen Brawner | M. Littman | Emily Reif | David Abel | Edward C. Williams | Stephen Brawner
[1] D. Yogi Goswami,et al. Principles of Solar Engineering , 1978 .
[2] J. Gittins. Bandit processes and dynamic allocation indices , 1979 .
[3] W. Peterson,et al. The Ratio of Diffuse to Direct Solar Irradiance (Perpendicular to the Sun's Rays) with Clear Skies—A Conserved Quantity Throughout the Day , 1981 .
[4] Dimitrios Passias,et al. Shading effects in rows of solar cell panels , 1984 .
[5] J. Michalsky. The Astronomical Almanac's algorithm for approximate solar position (1950 - 2050). , 1988 .
[6] Mahesan Niranjan,et al. On-line Q-learning using connectionist systems , 1994 .
[7] Martin L. Puterman,et al. Markov Decision Processes: Discrete Stochastic Dynamic Programming , 1994 .
[8] Andrew W. Moore,et al. Reinforcement Learning: A Survey , 1996, J. Artif. Intell. Res..
[9] S. Kalogirou. Design and construction of a one-axis sun-tracking system , 1996 .
[10] D. L. King,et al. Analysis of factors influencing the annual energy production of photovoltaic systems , 2002, Conference Record of the Twenty-Ninth IEEE Photovoltaic Specialists Conference, 2002..
[11] C. Long,et al. Cloud Coverage Based on All-Sky Imaging and Its Impact on Surface Solar Irradiance , 2003 .
[12] Tom Markvart,et al. Practical handbook of photovoltaics : fundamentals and applications , 2003 .
[13] I. Reda,et al. Solar position algorithm for solar radiation applications , 2004 .
[14] Peter Auer,et al. Finite-time Analysis of the Multiarmed Bandit Problem , 2002, Machine Learning.
[15] Chris C.S. Lau,et al. Overcast sky conditions and luminance distribution in Hong Kong , 2004 .
[16] M. Clifford,et al. Design of a novel passive solar tracker , 2004 .
[17] H. Vincent Poor,et al. Bandit problems with side observations , 2005, IEEE Transactions on Automatic Control.
[18] Yang Yang,et al. High-efficiency solution processable polymer photovoltaic cells by self-organization of polymer blends , 2005 .
[19] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[20] G. Kamali,et al. Estimating solar radiation on tilted surfaces with various orientations: a study case in Karaj (Iran) , 2006 .
[21] J. Rizk,et al. Solar Tracking System: More Efficient Use of Solar Panels , 2008 .
[22] Roberto Grena,et al. An algorithm for the computation of the solar position , 2008 .
[23] Karen Abrinia,et al. A review of principle and sun-tracking methods for maximizing solar systems output , 2009 .
[24] N. A. Kelly,et al. Improved photovoltaic energy output for cloudy conditions with a solar tracking system , 2009 .
[25] Wei Chu,et al. A contextual-bandit approach to personalized news article recommendation , 2010, WWW '10.
[26] M. Benghanem. Optimization of tilt angle for solar panel: Case study for Madinah, Saudi Arabia , 2011 .
[27] Roberto Grena,et al. Five new algorithms for the computation of sun position from 2010 to 2110 , 2012 .
[28] Manuel Berenguel,et al. Control of Solar Energy Systems , 2012 .
[29] Rustu Eke,et al. Performance comparison of a double-axis sun tracking versus fixed PV system , 2012 .
[30] Yongfang Li. Molecular design of photovoltaic materials for polymer solar cells: toward suitable electronic energy levels and broad absorption. , 2012, Accounts of chemical research.
[31] K. Mathieson,et al. Performance of photovoltaic arrays in-vivo and characteristics of prosthetic vision in animals with retinal degeneration , 2015, Vision Research.
[32] Shane Legg,et al. Human-level control through deep reinforcement learning , 2015, Nature.
[33] A. Bais,et al. The effect of clouds on surface solar irradiance, based on data from an all-sky imaging system , 2016 .
[34] M. Littman,et al. Improving Solar Panel Efficiency Using Reinforcement Learning , 2017 .
[35] M. Littman,et al. Toward Improving Solar Panel Efficiency using Reinforcement Learning , 2017 .