Day-ahead industrial load forecasting for electric RTG cranes
Author:
Publisher
Springer Science and Business Media LLC
Subject
Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment
Link
http://link.springer.com/article/10.1007/s40565-018-0394-4/fulltext.html
Reference24 articles.
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2. Papaioannou V, Pietrosanti S, Holderbaum W et al (2016) Analysis of energy usage for RTG cranes. Energy 125:337–344
3. Alasali F, Haben S, Becerra V et al (2017) Optimal energy management and MPC strategies for electrified RTG cranes with energy storage systems. Energies 10(10):1–18
4. Alasali F, Haben S, Becerra V et al (2016) Analysis of RTG crane load demand and short-term load forecasting. Int J Comput Commun Instrumen Eng 3(2):448–454
5. Ziel F, Liu B (2016) Lasso estimation for GEFCom2014 probabilistic electric load forecasting. Int J Forecast 32(3):1029–1037
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