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Machine Learning from Schools about Energy Efficiency

Citations

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Cited by:

  1. David BENATIA & Etienne BILLETTE de VILLEMEUR, 2019. "Strategic Reneging in Sequential Imperfect Markets," Working Papers 2019-19, Center for Research in Economics and Statistics.
  2. Eliana Carranza & Robyn Meeks, 2021. "Energy Efficiency and Electricity Reliability," The Review of Economics and Statistics, MIT Press, vol. 103(3), pages 461-475, July.
  3. Mary Jialin Li, 2017. "Industrial Investments in Energy Efficiency: A Good Idea?," Working Papers 17-05, Center for Economic Studies, U.S. Census Bureau.
  4. Stephen Jarvis & Olivier Deschenes & Akshaya Jha, 2022. "The Private and External Costs of Germany’s Nuclear Phase-Out," Journal of the European Economic Association, European Economic Association, vol. 20(3), pages 1311-1346.
  5. Jing Liang & Yueming Qiu & Bo Xing, 2021. "Social Versus Private Benefits of Energy Efficiency Under Time-of-Use and Increasing Block Pricing," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 78(1), pages 43-75, January.
  6. Carvallo, Juan Pablo & Murphy, Sean P. & Stuart, Elizabeth & Larsen, Peter H. & Goldman, Charles, 2019. "Evaluating project level investment trends for the U.S. ESCO industry: 1990–2017," Energy Policy, Elsevier, vol. 130(C), pages 139-161.
  7. Arne Steinkraus, 2019. "Estimating Treatment Effects With Artificial Neural Nets – A Comparison to Synthetic Control Method," Economics Bulletin, AccessEcon, vol. 39(4), pages 2778-2791.
  8. Steve Cicala, 2022. "Imperfect Markets versus Imperfect Regulation in US Electricity Generation," American Economic Review, American Economic Association, vol. 112(2), pages 409-441, February.
  9. Achyuta Adhvaryu & Namrata Kala & Anant Nyshadham, 2020. "The Light and the Heat: Productivity Co-Benefits of Energy-Saving Technology," The Review of Economics and Statistics, MIT Press, vol. 102(4), pages 779-792, October.
  10. Ben Gilbert & Jacob LaRiviere & Kevin Novan, 2019. "Additionality, Mistakes, and Energy Efficiency Investment," Working Papers 2019-01, Colorado School of Mines, Division of Economics and Business.
  11. Bruno Lanz and Evert Reins, 2021. "Asymmetric Information on the Market for Energy Efficiency: Insights from the Credence Goods Literature," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
  12. Takanori Ida & Takunori Ishihara & Koichiro Ito & Daido Kido & Toru Kitagawa & Shosei Sakaguchi & Shusaku Sasaki, 2022. "Choosing Who Chooses: Selection-Driven Targeting in Energy Rebate Programs," NBER Working Papers 30469, National Bureau of Economic Research, Inc.
  13. Augusto Cerqua & Roberta Di Stefano & Marco Letta & Sara Miccoli, 2021. "Local mortality estimates during the COVID-19 pandemic in Italy," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(4), pages 1189-1217, October.
  14. Saunders, Harry D. & Roy, Joyashree & Azevedo, Inês M.L. & Chakravarty, Debalina & Dasgupta, Shyamasree & De La Rue Du Can, Stephane & Druckman, Angela & Fouquet, Roger & Grubb, Michael & Lin, Boqiang, 2021. "Energy efficiency: what has research delivered in the last 40 years?," LSE Research Online Documents on Economics 114344, London School of Economics and Political Science, LSE Library.
  15. Cerqua, Augusto & Letta, Marco, 2022. "Local inequalities of the COVID-19 crisis," Regional Science and Urban Economics, Elsevier, vol. 92(C).
  16. Abrell, Jan & Kosch, Mirjam & Rausch, Sebastian, 2022. "How effective is carbon pricing?—A machine learning approach to policy evaluation," Journal of Environmental Economics and Management, Elsevier, vol. 112(C).
  17. Benatia, David, 2022. "Ring the alarm! Electricity markets, renewables, and the pandemic," Energy Economics, Elsevier, vol. 106(C).
  18. Roth, Jonathan & Martin, Amory & Miller, Clayton & Jain, Rishee K., 2020. "SynCity: Using open data to create a synthetic city of hourly building energy estimates by integrating data-driven and physics-based methods," Applied Energy, Elsevier, vol. 280(C).
  19. Takanori Ida & Takunori Ishihara & Koichiro Ito & Daido Kido & Toru Kitagawa & Shosei Sakaguchi & Shusaku Sasaki, 2021. "Paternalism, Autonomy, or Both? Experimental Evidence from Energy Saving Programs," Papers 2112.09850, arXiv.org.
  20. Lang, Ghislaine & Lanz, Bruno, 2021. "Energy efficiency, information, and the acceptability of rent increases: A survey experiment with tenants," Energy Economics, Elsevier, vol. 95(C).
  21. Andres Liberman & Christopher Neilson & Luis Opazo & Seth Zimmerman, 2018. "The Equilibrium Effects of Information Deletion: Evidence from Consumer Credit Markets," NBER Working Papers 25097, National Bureau of Economic Research, Inc.
  22. Colmenares, Gloria & Löschel, Andreas & Madlener, Reinhard, 2019. "The rebound effect and its representation in energy and climate models," CAWM Discussion Papers 106, University of Münster, Münster Center for Economic Policy (MEP).
  23. Ahmad, Tanveer & Madonski, Rafal & Zhang, Dongdong & Huang, Chao & Mujeeb, Asad, 2022. "Data-driven probabilistic machine learning in sustainable smart energy/smart energy systems: Key developments, challenges, and future research opportunities in the context of smart grid paradigm," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
  24. Gert Bijnens & Shyngys Karimov & Jozef Konings, 2023. "Does Automatic Wage Indexation Destroy Jobs? A Machine Learning Approach," De Economist, Springer, vol. 171(1), pages 85-117, March.
  25. Ahmet Goncu & Mehmet Oguz Karahan & Tolga Umut Kuzubas, 2019. "Forecasting Daily Residential Natural Gas Consumption: A Dynamic Temperature Modelling Approach," Bogazici Journal, Review of Social, Economic and Administrative Studies, Bogazici University, Department of Economics, vol. 33(1), pages 1-22.
  26. Hancevic, Pedro I. & Sandoval, Hector H., 2022. "Low-income energy efficiency programs and energy consumption," Journal of Environmental Economics and Management, Elsevier, vol. 113(C).
  27. Bian, Xueying & Fabra, Natalia, 2020. "Incentives for information provision: Energy efficiency in the Spanish rental market," Energy Economics, Elsevier, vol. 90(C).
  28. Prest, Brian C. & Krupnick, Alan, 2021. "How clean is “refined coal”? An empirical assessment of a billion-dollar tax credit," Energy Economics, Elsevier, vol. 97(C).
  29. Singhal, Puja & Pahle, Michael & Kalkuhl, Matthias & Levesque, Antoine & Sommer, Stephan & Berneiser, Jessica, 2022. "Beyond good faith: Why evidence-based policy is necessary to decarbonize buildings cost-effectively in Germany," Energy Policy, Elsevier, vol. 169(C).
  30. Lang, Ghislaine & Lanz, Bruno, 2022. "Climate policy without a price signal: Evidence on the implicit carbon price of energy efficiency in buildings," Journal of Environmental Economics and Management, Elsevier, vol. 111(C).
  31. Christopher R. Knittel & Samuel Stolper, 2019. "Using Machine Learning to Target Treatment: The Case of Household Energy Use," NBER Working Papers 26531, National Bureau of Economic Research, Inc.
  32. Jan Abrell & Mirjam Kosch & Sebastian Rausch, 2019. "How Effective Was the UK Carbon Tax? — A Machine Learning Approach to Policy Evaluation," CER-ETH Economics working paper series 19/317, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
  33. Roth, Jonathan & Brown IV, Howard Alexander & Jain, Rishee K., 2020. "Harnessing smart meter data for a Multitiered Energy Management Performance Indicators (MEMPI) framework: A facility manager informed approach," Applied Energy, Elsevier, vol. 276(C).
  34. Fabra, Natalia & Lacuesta, Aitor & Souza, Mateus, 2022. "The implicit cost of carbon abatement during the COVID-19 pandemic," European Economic Review, Elsevier, vol. 147(C).
  35. Yujie Xu & Vivian Loftness & Edson Severnini, 2021. "Using Machine Learning to Predict Retrofit Effects for a Commercial Building Portfolio," Energies, MDPI, vol. 14(14), pages 1-24, July.
  36. Filippini, Massimo & Geissmann, Thomas & Karplus, Valerie J. & Zhang, Da, 2020. "The productivity impacts of energy efficiency programs in developing countries: Evidence from iron and steel firms in China," China Economic Review, Elsevier, vol. 59(C).
  37. Andres Liberman & Christopher A. Neilson & Luis Opazo & Seth Zimmerman, 2019. "Equilibrium Effects of Asymmetric Information on Consumer Credit Markets," Working Papers 2019-7, Princeton University. Economics Department..
  38. Maya Papineau & Nicholas Rivers & Kareman Yassin, 2022. "Estimates of long-run energy savings and realization rates from a large energy efficiency retrofit program," Carleton Economic Papers 22-09, Carleton University, Department of Economics.
  39. David BENATIA, 2020. "Reaching New Lows? The Pandemic's Consequences for Electricity Markets," Working Papers 2020-12, Center for Research in Economics and Statistics.
  40. Al-Ubaydli, Omar & Cassidy, Alecia & Chatterjee, Anomitro & Khalifa, Ahmed & Price, Michael, 2023. "The power to conserve: a field experiment on electricity use in Qatar," LSE Research Online Documents on Economics 121048, London School of Economics and Political Science, LSE Library.
  41. Ankitha Nandipura Prasanna & Priscila Grecov & Angela Dieyu Weng & Christoph Bergmeir, 2022. "Causal Effect Estimation with Global Probabilistic Forecasting: A Case Study of the Impact of Covid-19 Lockdowns on Energy Demand," Papers 2209.08885, arXiv.org, revised Oct 2022.
  42. Joshua Blonz, 2019. "The Welfare Costs of Misaligned Incentives: Energy Inefficiency and the Principal-Agent Problem," Finance and Economics Discussion Series 2019-071, Board of Governors of the Federal Reserve System (U.S.).
  43. Lee, Wang-Sheng & Tran, Trang My, 2024. "Emissions from Military Training: Evidence from Australia," IZA Discussion Papers 16889, Institute of Labor Economics (IZA).
  44. Cerqua, Augusto & Letta, Marco, 2020. "Local economies amidst the COVID-19 crisis in Italy: a tale of diverging trajectories," MPRA Paper 104404, University Library of Munich, Germany.
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