Academic literature on the topic 'Energy consumption – Ontario – Forecasting'
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Journal articles on the topic "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.
Full textSultana, 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.
Full textChen, 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.
Full textKaratzoglidi, 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.
Full textPegalajar, 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.
Full textDegefa, 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.
Full textHan, 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.
Full textMa, 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.
Full textTomčala, Jiří. "Towards Optimal Supercomputer Energy Consumption Forecasting Method." Mathematics 9, no. 21 (October 23, 2021): 2695. http://dx.doi.org/10.3390/math9212695.
Full textPavlicko, 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.
Full textDissertations / Theses on the topic "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.
Full textHe, 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.
Full textDodds, 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.
Full textMcCafferty, 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.
Full textCheng, 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.
Full textMuendej, 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.
Full textHadjipaschalis, 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.
Full textMangisa, Siphumlile. "Statistical analysis of electricity demand profiles." Thesis, Nelson Mandela Metropolitan University, 2013. http://hdl.handle.net/10948/d1011548.
Full textSakva, Denys. "Evaluation of errors in national energy forecasts /." Link to online version, 2005. https://ritdml.rit.edu/dspace/handle/1850/1166.
Full textTrujillo, 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.
Full textBooks on the topic "Energy consumption – Ontario – Forecasting"
Hydro, Ontario. Ontario Hydro's demand/supply plan. Toronto, Ont: Province of Ontario, 1990.
Find full textMegatrends for energy efficiency and renewable energy. Lilburn, GA: Fairmont Press, 2011.
Find full textFrisch, Jean-Romain. Future stresses for energy resources: Energy abundance, myth or reality? London: Graham & Trotman, 1986.
Find full textFrisch, Jean-Romain. Future stresses for energy resources: Energy abundance: myth or reality? London: Graham & Trotman, 1986.
Find full textBerg, Sanford V. Forecasts of energy consumption in Florida, 1987-2006. [Gainesville]: Public Utility Research Center, University of Florida, 1989.
Find full textEnergy of the future. Moscow: Elma publishers, 2006.
Find full textOrganization for Economic Co-operation and Development. World energy outlook. Paris: OECD, 1996.
Find full textStamets, Leigh. California transportation energy demand, 1984-2004. [S.l.]: California Energy Commission, Technology Assessments Projects Office, Assessments Division, 1985.
Find full text1934-, Barnes Philip, ed. Energy demand in the developing countries: Prospects for the future. Washington, D.C: World Bank, 1990.
Find full textUniversity 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.
Find full textBook chapters on the topic "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.
Full textSilva, 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.
Full textBouabaz, 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.
Full textGrigoras, 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.
Full textShchetinin, 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.
Full textFouad, 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.
Full textBendali, 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.
Full textArdakani, 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.
Full textKouziokas, 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.
Full textWeeraddana, 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.
Full textConference papers on the topic "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.
Full textRagupathi, 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.
Full textDanilov, 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.
Full textZareipour, 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.
Full textChan, 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.
Full textBuckler, 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.
Full textBrito, 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.
Full textTalwariya, 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.
Full textPopov, 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.
Full textZhang, 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.
Full textReports on the topic "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.
Full textMikayilov, 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.
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