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Статті в журналах з теми "Energy consumption – Ontario – Forecasting"
Shirzadi, Navid, Ameer Nizami, Mohammadali Khazen, and Mazdak Nik-Bakht. "Medium-Term Regional Electricity Load Forecasting through Machine Learning and Deep Learning." Designs 5, no. 2 (April 6, 2021): 27. http://dx.doi.org/10.3390/designs5020027.
Повний текст джерелаSultana, Nahid, S. M. Zakir Hossain, Salma Hamad Almuhaini, and Dilek Düştegör. "Bayesian Optimization Algorithm-Based Statistical and Machine Learning Approaches for Forecasting Short-Term Electricity Demand." Energies 15, no. 9 (May 7, 2022): 3425. http://dx.doi.org/10.3390/en15093425.
Повний текст джерелаChen, Jack, Kerry Anderson, Radenko Pavlovic, Michael D. Moran, Peter Englefield, Dan K. Thompson, Rodrigo Munoz-Alpizar, and Hugo Landry. "The FireWork v2.0 air quality forecast system with biomass burning emissions from the Canadian Forest Fire Emissions Prediction System v2.03." Geoscientific Model Development 12, no. 7 (July 26, 2019): 3283–310. http://dx.doi.org/10.5194/gmd-12-3283-2019.
Повний текст джерелаKaratzoglidi, Mary, Paraskevas Kerasiotis, and Verena Kantere. "Automated energy consumption forecasting with EnForce." Proceedings of the VLDB Endowment 14, no. 12 (July 2021): 2771–74. http://dx.doi.org/10.14778/3476311.3476341.
Повний текст джерелаPegalajar, M. C., and L. G. B. Ruiz. "Time Series Forecasting for Energy Consumption." Energies 15, no. 3 (January 21, 2022): 773. http://dx.doi.org/10.3390/en15030773.
Повний текст джерелаDegefa, Mehari Weldemariam. "Ethiopian energy consumption forecast." Mehran University Research Journal of Engineering and Technology 41, no. 4 (October 1, 2022): 42. http://dx.doi.org/10.22581/muet1982.2204.04.
Повний текст джерелаHan, Sun, Zhang Xianfeng, and Guo Haixiang. "China’s Energy Consumption Demand Forecasting and Analysis." Journal of Applied Sciences 13, no. 21 (October 15, 2013): 4912–15. http://dx.doi.org/10.3923/jas.2013.4912.4915.
Повний текст джерелаMa, Jie, Amos Oppong, Kingsley Nketia Acheampong, and Lucille Aba Abruquah. "Forecasting Renewable Energy Consumption under Zero Assumptions." Sustainability 10, no. 3 (February 25, 2018): 576. http://dx.doi.org/10.3390/su10030576.
Повний текст джерелаTomčala, Jiří. "Towards Optimal Supercomputer Energy Consumption Forecasting Method." Mathematics 9, no. 21 (October 23, 2021): 2695. http://dx.doi.org/10.3390/math9212695.
Повний текст джерелаPavlicko, Michal, Mária Vojteková, and Oľga Blažeková. "Forecasting of Electrical Energy Consumption in Slovakia." Mathematics 10, no. 4 (February 12, 2022): 577. http://dx.doi.org/10.3390/math10040577.
Повний текст джерелаДисертації з теми "Energy consumption – Ontario – Forecasting"
Bae, Kyungcho. "Energy consumption forecasting: Econometric model vs state space model." Diss., The University of Arizona, 1994. http://hdl.handle.net/10150/187010.
Повний текст джерелаHe, Miaofen 1976. "Assessing the economic feasibility of a carbon tax on energy inputs in Ontario's pulp and paper industry : an econometric analysis." Thesis, McGill University, 2001. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=31232.
Повний текст джерелаDodds, Gordon Ivan. "Modelling and forecasting electricity demand using aggregate and disaggregate data." Thesis, Queen's University Belfast, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.306073.
Повний текст джерелаMcCafferty, Peter. "Forecasting electricity demand in the industrial sector based on disaggregate data." Thesis, Queen's University Belfast, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.385049.
Повний текст джерелаCheng, Yuanzhi. "Forecasting by learning methods: The gross domestic product, total energy consumption and petroleum consumption of the United States." Diss., The University of Arizona, 1994. http://hdl.handle.net/10150/186631.
Повний текст джерелаMuendej, Krisanee. "Predictions of monthly energy consumption and annual patterns of energy usage for convenience stores by using multiple and nonlinear regression models." Texas A&M University, 2004. http://hdl.handle.net/1969.1/1221.
Повний текст джерелаHadjipaschalis, Constantinos. "An investigation of artificial neural networks applied to monthly electricity peak demand and energy forecasting." Thesis, Imperial College London, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.286627.
Повний текст джерелаMangisa, Siphumlile. "Statistical analysis of electricity demand profiles." Thesis, Nelson Mandela Metropolitan University, 2013. http://hdl.handle.net/10948/d1011548.
Повний текст джерелаSakva, Denys. "Evaluation of errors in national energy forecasts /." Link to online version, 2005. https://ritdml.rit.edu/dspace/handle/1850/1166.
Повний текст джерелаTrujillo, Iliana Cardenes. "Quantifying the energy consumption of the water use cycle." Thesis, University of Oxford, 2017. https://ora.ox.ac.uk/objects/uuid:df481801-cce1-4824-986c-612f4673b8eb.
Повний текст джерелаКниги з теми "Energy consumption – Ontario – Forecasting"
Hydro, Ontario. Ontario Hydro's demand/supply plan. Toronto, Ont: Province of Ontario, 1990.
Знайти повний текст джерелаMegatrends for energy efficiency and renewable energy. Lilburn, GA: Fairmont Press, 2011.
Знайти повний текст джерелаFrisch, Jean-Romain. Future stresses for energy resources: Energy abundance, myth or reality? London: Graham & Trotman, 1986.
Знайти повний текст джерелаFrisch, Jean-Romain. Future stresses for energy resources: Energy abundance: myth or reality? London: Graham & Trotman, 1986.
Знайти повний текст джерелаBerg, Sanford V. Forecasts of energy consumption in Florida, 1987-2006. [Gainesville]: Public Utility Research Center, University of Florida, 1989.
Знайти повний текст джерелаEnergy of the future. Moscow: Elma publishers, 2006.
Знайти повний текст джерелаOrganization for Economic Co-operation and Development. World energy outlook. Paris: OECD, 1996.
Знайти повний текст джерелаStamets, Leigh. California transportation energy demand, 1984-2004. [S.l.]: California Energy Commission, Technology Assessments Projects Office, Assessments Division, 1985.
Знайти повний текст джерела1934-, Barnes Philip, ed. Energy demand in the developing countries: Prospects for the future. Washington, D.C: World Bank, 1990.
Знайти повний текст джерелаUniversity of Texas at Austin. Center for Transportation Research. Texas transportation energy savings: Strategies for reducing energy consumption. Austin, Tex: Texas Sustainabale Energy Development Council, 1995.
Знайти повний текст джерелаЧастини книг з теми "Energy consumption – Ontario – Forecasting"
Arghira, Nicoleta, Stéphane Ploix, Ioana Făgărăşan, and Sergiu Stelian Iliescu. "Forecasting Energy Consumption in Dwellings." In Advances in Intelligent Systems and Computing, 251–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-32548-9_18.
Повний текст джерелаSilva, Jose, Isabel Praça, Tiago Pinto, and Zita Vale. "Energy Consumption Forecasting Using Ensemble Learning Algorithms." In Advances in Intelligent Systems and Computing, 5–13. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23946-6_1.
Повний текст джерелаBouabaz, Mohamed, Mourad Mordjaoui, Nabil Bouleknafet, and Badreddine Belghoul. "Forecasting the Energy Consumption Using Neural Network Approach." In Progress in Clean Energy, Volume 1, 311–20. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16709-1_22.
Повний текст джерелаGrigoras, Gheorghe. "Electrical Energy Consumption Forecasting to Improve Energy Efficiency of Water Distribution Systems." In Energy Harvesting and Energy Efficiency, 599–628. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-49875-1_20.
Повний текст джерелаShchetinin, Eugene Yu. "Cluster-Based Energy Consumption Forecasting in Smart Grids." In Developments in Language Theory, 445–56. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99447-5_38.
Повний текст джерелаFouad, Mountassir, Reda Mali, and Mohamed Pr.Bousmah. "Machine Learning for Forecasting Building System Energy Consumption." In Learning and Analytics in Intelligent Systems, 235–42. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-36778-7_25.
Повний текст джерелаBendali, Wadie, Mohammed Boussetta, Ikram Saber, and Youssef Mourad. "Households Energy Consumption Forecasting with Echo State Network." In Digital Technologies and Applications, 1305–15. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73882-2_119.
Повний текст джерелаArdakani, Samad Ranjbar, Seyed Mohsen Hossein, and Alireza Aslani. "Forecasting Domestic Energy Consumption for the Nordic Countries." In International Solutions to Sustainable Energy, Policies and Applications, 167–209. Lilburn, GA : The Fairmont Press, Inc., [2018]: River Publishers, 2020. http://dx.doi.org/10.1201/9781003150978-10.
Повний текст джерелаKouziokas, Georgios N., Alexander Chatzigeorgiou, and Konstantinos Perakis. "Final Energy Consumption Forecasting by Applying Artificial Intelligence Models." In Operational Research in the Digital Era – ICT Challenges, 1–10. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-95666-4_1.
Повний текст джерелаWeeraddana, Dilusha, Nguyen Lu Dang Khoa, Lachlan O’Neil, Weihong Wang, and Chen Cai. "Energy Consumption Forecasting Using a Stacked Nonparametric Bayesian Approach." In Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 19–35. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67670-4_2.
Повний текст джерелаТези доповідей конференцій з теми "Energy consumption – Ontario – Forecasting"
Liang, Da-peng, and Dong-hai Ma. "The forecasting of China’s energy consumption." In 2008 International Conference on Management Science and Engineering (ICMSE). IEEE, 2008. http://dx.doi.org/10.1109/icmse.2008.4669112.
Повний текст джерелаRagupathi, C., and R. Prakash. "Forecasting energy consumption using enhanced LSTM." In INTERNATIONAL CONFERENCE ON TRENDS IN CHEMICAL ENGINEERING 2021 (ICoTRiCE2021). AIP Publishing, 2022. http://dx.doi.org/10.1063/5.0118176.
Повний текст джерелаDanilov, Konstantin, and Svetlana Maltseva. "Energy consumption forecasting as a service." In 2021 IEEE 23rd Conference on Business Informatics (CBI). IEEE, 2021. http://dx.doi.org/10.1109/cbi52690.2021.10068.
Повний текст джерелаZareipour, H., K. Bhattacharya, and C. A. Canizares. "Forecasting the hourly Ontario energy price by multivariate adaptive regression splines." In 2006 IEEE Power Engineering Society General Meeting. IEEE, 2006. http://dx.doi.org/10.1109/pes.2006.1709474.
Повний текст джерелаChan, Jun Wei, and Chai Kiat Yeo. "Electrical Power Consumption Forecasting with Transformers." In 2022 IEEE Electrical Power and Energy Conference (EPEC). IEEE, 2022. http://dx.doi.org/10.1109/epec56903.2022.10000228.
Повний текст джерелаBuckler, Jay, Suprio Ray, and Eduardo Castillo-Guerra. "Scalable Local Short-Term Energy Consumption Forecasting." In 2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE). IEEE, 2019. http://dx.doi.org/10.1109/ccece.2019.8861769.
Повний текст джерелаBrito, Tiago C., and Miguel A. Brito. "Forecasting of Energy Consumption : Artificial Intelligence Methods." In 2022 17th Iberian Conference on Information Systems and Technologies (CISTI). IEEE, 2022. http://dx.doi.org/10.23919/cisti54924.2022.9820078.
Повний текст джерелаTalwariya, Akash, Pushpendra Singh, M. Deva Brinda, Jalpa Jobanputra, and Mohan Lal Kolhe. "Domestic Energy Consumption Forecasting using Machine Learning." In 2022 7th International Conference on Smart and Sustainable Technologies (SpliTech). IEEE, 2022. http://dx.doi.org/10.23919/splitech55088.2022.9854296.
Повний текст джерелаPopov, Pavel, and Polina Bochkareva. "Artificial neural network energy consumption forecasting system." In 13TH INTERNATIONAL SCIENTIFIC CONFERENCE ON AERONAUTICS, AUTOMOTIVE AND RAILWAY ENGINEERING AND TECHNOLOGIES (BulTrans-2021). AIP Publishing, 2022. http://dx.doi.org/10.1063/5.0099798.
Повний текст джерелаZhang, Xiaoou Monica, Katarina Grolinger, Miriam A. M. Capretz, and Luke Seewald. "Forecasting Residential Energy Consumption: Single Household Perspective." In 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA). IEEE, 2018. http://dx.doi.org/10.1109/icmla.2018.00024.
Повний текст джерелаЗвіти організацій з теми "Energy consumption – Ontario – Forecasting"
Mikayilov, Jeyhun, Ryan Alyamani, Abdulelah Darandary, Muhammad Javid, Fakhri Hasanov, Saleh T. AlTurki, and Rey B. Arnaiz. Modeling and Forecasting Industrial Electricity Demand for Saudi Arabia: Uncovering Regional Characteristics. King Abdullah Petroleum Studies and Research Center, January 2022. http://dx.doi.org/10.30573/ks--2021-dp19.
Повний текст джерелаMikayilov, Jeyhun, Ryan Alyamani, Abdulelah Darandary, Muhammad Javid, and Fakhri Hasanov. Modeling and Forecasting Industrial Electricity Demand for Saudi Arabia: Uncovering Regional Characteristics. King Abdullah Petroleum Studies and Research Center, January 2022. http://dx.doi.org/10.30573/ks--2021-dp22.
Повний текст джерела