Journal articles on the topic 'Energy conservation – Ontario – Forecasting'
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Rodriguez, C. P., and G. J. Anders. "Energy Price Forecasting in the Ontario Competitive Power System Market." IEEE Transactions on Power Systems 19, no. 1 (February 2004): 366–74. http://dx.doi.org/10.1109/tpwrs.2003.821470.
Full textFarmer, David J., and Layne N. Thiessen. "Recent Regulatory and Legislative Developments of Interest to Energy Lawyers." Alberta Law Review 51, no. 2 (December 1, 2013): 427. http://dx.doi.org/10.29173/alr73.
Full textLópez, Karol Lina, Christian Gagné, Germán Castellanos-Dominguez, and Mauricio Orozco-Alzate. "Training subset selection in Hourly Ontario Energy Price forecasting using time series clustering-based stratification." Neurocomputing 156 (May 2015): 268–79. http://dx.doi.org/10.1016/j.neucom.2014.12.052.
Full textXie, Hui, Li Feng Wang, and Wei Liang. "Forecasting of Energy Consumption of Beijing's Residential Sector Based on System Dynamics Model." Advanced Materials Research 869-870 (December 2013): 537–40. http://dx.doi.org/10.4028/www.scientific.net/amr.869-870.537.
Full textGao, Lei. "Forecasting and Analysis of Energy Consumption in China." Frontiers in Business, Economics and Management 3, no. 2 (March 16, 2022): 26–30. http://dx.doi.org/10.54097/fbem.v3i2.257.
Full textDeng, Zhuofu, Xianglong Qi, Tengteng Xu, and Yingnan Zheng. "Operational Scheduling of Behind-the-Meter Storage Systems Based on Multiple Nonstationary Decomposition and Deep Convolutional Neural Network for Price Forecasting." Computational Intelligence and Neuroscience 2022 (February 21, 2022): 1–18. http://dx.doi.org/10.1155/2022/9326856.
Full textRunge, Jason, and Radu Zmeureanu. "Forecasting Energy Use in Buildings Using Artificial Neural Networks: A Review." Energies 12, no. 17 (August 23, 2019): 3254. http://dx.doi.org/10.3390/en12173254.
Full textLarroque, Jeremy, Julian Wittische, and Patrick M. A. James. "Quantifying and predicting population connectivity of an outbreaking forest insect pest." Landscape Ecology 37, no. 3 (December 23, 2021): 763–78. http://dx.doi.org/10.1007/s10980-021-01382-9.
Full textSmith, L. E., Marie H. Buchinski, and And Deirdre A. Sheehan. "Recent Regulatory and Legislative Developments of Interest to Energy Lawyers." Alberta Law Review 48, no. 2 (December 1, 2010): 417. http://dx.doi.org/10.29173/alr160.
Full textWei, Shangfu, and Xiaoqing Bai. "Multi-Step Short-Term Building Energy Consumption Forecasting Based on Singular Spectrum Analysis and Hybrid Neural Network." Energies 15, no. 5 (February 25, 2022): 1743. http://dx.doi.org/10.3390/en15051743.
Full textSarmas, Elissaios, Sofoklis Strompolas, Vangelis Marinakis, Francesca Santori, Marco Antonio Bucarelli, and Haris Doukas. "An Incremental Learning Framework for Photovoltaic Production and Load Forecasting in Energy Microgrids." Electronics 11, no. 23 (November 29, 2022): 3962. http://dx.doi.org/10.3390/electronics11233962.
Full textJaffé, Rodolfo, Samia Nunes, Jorge Filipe Dos Santos, Markus Gastauer, Tereza C. Giannini, Wilson Nascimento Jr, Marcio Sales, Carlos M. Souza, Pedro W. Souza-Filho, and Robert J. Fletcher. "Forecasting deforestation in the Brazilian Amazon to prioritize conservation efforts." Environmental Research Letters 16, no. 8 (July 29, 2021): 084034. http://dx.doi.org/10.1088/1748-9326/ac146a.
Full textMoran, Lesley A., and Jagdish C. Nautiyal. "Present and future feasibility of short-rotation energy farms in Ontario." Forest Ecology and Management 10, no. 4 (May 1985): 323–38. http://dx.doi.org/10.1016/0378-1127(85)90123-9.
Full textWang, Zhao Han, Chang Guo Xuan, and Qiang Fu. "Urban Water Consumption Forecasting Based on Projection Pursuit." Advanced Materials Research 542-543 (June 2012): 1334–38. http://dx.doi.org/10.4028/www.scientific.net/amr.542-543.1334.
Full textConway, Christopher D. "Ontario’s Electrical Future: Global Environmental Limits, Systems Thinking, and Electrical Power Planning in Ontario, 1974-1983." Scientia Canadensis 37, no. 1-2 (May 20, 2015): 34–58. http://dx.doi.org/10.7202/1030639ar.
Full textDuan, Yun. "A Novel Interval Energy-Forecasting Method for Sustainable Building Management Based on Deep Learning." Sustainability 14, no. 14 (July 13, 2022): 8584. http://dx.doi.org/10.3390/su14148584.
Full textZhang, Qi, Xiao Ying Wang, Da Wei Zhang, Tao Du, and Jiu Ju Cai. "Development of Energy Management System in Integrated Iron and Steel Works." Advanced Materials Research 204-210 (February 2011): 1737–40. http://dx.doi.org/10.4028/www.scientific.net/amr.204-210.1737.
Full textLi, Wan Zhen. "The Study on Building Energy Conservation Technology Based on Four-Layer Neural Network." Applied Mechanics and Materials 246-247 (December 2012): 428–32. http://dx.doi.org/10.4028/www.scientific.net/amm.246-247.428.
Full textPearce, Joshua M. "Agrivoltaics in Ontario Canada: Promise and Policy." Sustainability 14, no. 5 (March 4, 2022): 3037. http://dx.doi.org/10.3390/su14053037.
Full textZakonnova, Ludmila, Igor Nikishkin, Ludmila Stemplewska, and Alena Chupryakova. "Principles of Conservation of Biodiversity in Hydrobiocenoses Formed as a Result of Carbon and Energy Enterprises." E3S Web of Conferences 174 (2020): 02027. http://dx.doi.org/10.1051/e3sconf/202017402027.
Full textHwang, Pyeong-Ik, Seong-Chul Kwon, and Sang-Yun Yun. "Schedule-Based Operation Method Using Market Data for an Energy Storage System of a Customer in the Ontario Electricity Market." Energies 11, no. 10 (October 9, 2018): 2683. http://dx.doi.org/10.3390/en11102683.
Full textWan Abdul Razak, Intan Azmira, Izham Zainal Abidin, Yap Keem Siah, and Mohamad Fani Sulaima. "NEXT-HOUR ELECTRICITY PRICE FORECASTING USING LEAST SQUARES SUPPORT VECTOR MACHINE AND GENETIC ALGORITHM." ASEAN Engineering Journal 12, no. 3 (August 31, 2022): 11–17. http://dx.doi.org/10.11113/aej.v12.17276.
Full textChen, Yuzhen, Suzhen Li, and Shuangbing Guo. "A Novel Fractional Hausdorff Discrete Grey Model for Forecasting the Renewable Energy Consumption." Journal of Mathematics 2022 (October 27, 2022): 1–23. http://dx.doi.org/10.1155/2022/8443619.
Full textLi, Kangji, Wenping Xue, Gang Tan, and Anthony S. Denzer. "A state of the art review on the prediction of building energy consumption using data-driven technique and evolutionary algorithms." Building Services Engineering Research and Technology 41, no. 1 (May 3, 2019): 108–27. http://dx.doi.org/10.1177/0143624419843647.
Full textKassem, Sameh A., Abdulla H. A. EBRAHIM, Abdulla M. Khasan, and Alla G. Logacheva. "FORECASTING ELECTRIC CONSUMPTION OF THE ENTERPRISE USING ARTIFICIAL NEURAL NETWORKS." Tyumen State University Herald. Physical and Mathematical Modeling. Oil, Gas, Energy 7, no. 1 (2021): 177–93. http://dx.doi.org/10.21684/2411-7978-2021-7-1-177-193.
Full textPourhaji, Nazila, Mohammad Asadpour, Ali Ahmadian, and Ali Elkamel. "The Investigation of Monthly/Seasonal Data Clustering Impact on Short-Term Electricity Price Forecasting Accuracy: Ontario Province Case Study." Sustainability 14, no. 5 (March 6, 2022): 3063. http://dx.doi.org/10.3390/su14053063.
Full textZhang, Yin Juan. "Research of Dynamic Forecasting Model of Temperature Field in Slab and ANSYS Analysis." Advanced Materials Research 781-784 (September 2013): 2546–49. http://dx.doi.org/10.4028/www.scientific.net/amr.781-784.2546.
Full textTurnbull, Thomas. "‘No Solution to the Immediate Crisis’: The Uncertain Political Economy of Energy Conservation in 1970s Britain." Contemporary European History 31, no. 4 (November 2022): 570–92. http://dx.doi.org/10.1017/s0960777322000625.
Full textLiu, Chunxia, and Liqun Liu. "The global peak forecasting method for PV array based on the conservation of energy at uniform and partial shading." Energy Reports 6 (December 2020): 113–22. http://dx.doi.org/10.1016/j.egyr.2020.12.002.
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 textShirzadi, 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 textEl Maghraoui, Adila, Younes Ledmaoui, Oussama Laayati, Hicham El Hadraoui, and Ahmed Chebak. "Smart Energy Management: A Comparative Study of Energy Consumption Forecasting Algorithms for an Experimental Open-Pit Mine." Energies 15, no. 13 (June 22, 2022): 4569. http://dx.doi.org/10.3390/en15134569.
Full textSommer, Matthias, and Sebastian Reich. "Phase Space Volume Conservation under Space and Time Discretization Schemes for the Shallow-Water Equations." Monthly Weather Review 138, no. 11 (November 1, 2010): 4229–36. http://dx.doi.org/10.1175/2010mwr3323.1.
Full textSajid, Zaman, Asma Javaid, Muhammad Kashif Khan, Hamad Sadiq, and Usman Hamid. "Integration of Regression Analysis and Monte Carlo Simulation for Probabilistic Energy Policy Guidelines in Pakistan." Resources 10, no. 9 (August 25, 2021): 88. http://dx.doi.org/10.3390/resources10090088.
Full textZhou, Jianguo, Xiaolei Xu, Wei Li, Fengtao Guang, Xuechao Yu, and BaoLing Jin. "Forecasting CO2 Emissions in China’s Construction Industry Based on the Weighted Adaboost-ENN Model and Scenario Analysis." Journal of Energy 2019 (March 3, 2019): 1–12. http://dx.doi.org/10.1155/2019/8275491.
Full textDvinin, D., A. Davankov, and A. Plaksina. "Methodological toolkit for assessing the impact of renewable energy on the balanced development and preservation of the regional carbon cycle." IOP Conference Series: Earth and Environmental Science 1070, no. 1 (July 1, 2022): 012010. http://dx.doi.org/10.1088/1755-1315/1070/1/012010.
Full textRen, Hui, Jia Qi Fan, David Watts, and Dan Wei. "Quantifying the Risk of Wind Power Forecasting Error on Power System Optimal Dispatching." Applied Mechanics and Materials 672-674 (October 2014): 355–60. http://dx.doi.org/10.4028/www.scientific.net/amm.672-674.355.
Full textLingyu, Liang, Wenqi Huang, Zhaojie Dong, Jiguang Zhao, Peng Li, Bingfang Lu, and Xinde Zhu. "Short-term power load forecasting based on combined kernel Gaussian process hybrid model." E3S Web of Conferences 256 (2021): 01009. http://dx.doi.org/10.1051/e3sconf/202125601009.
Full textChen, Linyan, Albert P. C. Chan, Qiang Yang, Amos Darko, and Xin Gao. "Forecasting Green Building Growth in Different Regions of China." IOP Conference Series: Earth and Environmental Science 1101, no. 2 (November 1, 2022): 022042. http://dx.doi.org/10.1088/1755-1315/1101/2/022042.
Full textBonter, David N., Therese M. Donovan, and Elizabeth W. Brooks. "Daily Mass Changes in Landbirds During Migration Stopover on the South Shore of Lake Ontario." Auk 124, no. 1 (January 1, 2007): 122–33. http://dx.doi.org/10.1093/auk/124.1.122.
Full textJia, Ni Sha, Yong Hui Han, and Bo Hu. "Research on the Development of China’s Emission Reduction Based on Low Carbon Economy." Advanced Materials Research 962-965 (June 2014): 2381–85. http://dx.doi.org/10.4028/www.scientific.net/amr.962-965.2381.
Full textChrysikopoulos, Stamatis, and Panos Chountalas. "Integrating energy and environmental management systems to enable facilities to qualify for carbon funds." Energy & Environment 29, no. 6 (March 15, 2018): 938–56. http://dx.doi.org/10.1177/0958305x18762586.
Full textZhukovskiy, Yuriy, Pavel Tsvetkov, Aleksandra Buldysko, Yana Malkova, Antonina Stoianova, and Anastasia Koshenkova. "Scenario Modeling of Sustainable Development of Energy Supply in the Arctic." Resources 10, no. 12 (December 7, 2021): 124. http://dx.doi.org/10.3390/resources10120124.
Full textVeals, Peter G., W. James Steenburgh, and Leah S. Campbell. "Factors Affecting the Inland and Orographic Enhancement of Lake-Effect Precipitation over the Tug Hill Plateau." Monthly Weather Review 146, no. 6 (June 2018): 1745–62. http://dx.doi.org/10.1175/mwr-d-17-0385.1.
Full textAbas, Azlan, Azmi Aziz, and Azahan Awang. "A Systematic Review on the Local Wisdom of Indigenous People in Nature Conservation." Sustainability 14, no. 6 (March 15, 2022): 3415. http://dx.doi.org/10.3390/su14063415.
Full textKazemi Rad, Melissa, David Riley, Somayeh Asadi, and Parhum Delgoshaei. "Improving the performance profile of energy conservation measures at the Penn State University Park Campus." Engineering, Construction and Architectural Management 24, no. 4 (July 17, 2017): 610–28. http://dx.doi.org/10.1108/ecam-02-2016-0050.
Full textSu, Moting, Zongyi Zhang, Ye Zhu, and Donglan Zha. "Data-Driven Natural Gas Spot Price Forecasting with Least Squares Regression Boosting Algorithm." Energies 12, no. 6 (March 21, 2019): 1094. http://dx.doi.org/10.3390/en12061094.
Full textNiu, Dong Xiao, Yan Chao Chen, Jiao Fan, Qing Guo Ma, and Qin Liang Tan. "Study of Super Short-Term Bus Load Forecasting Model Based on Similar Ranges." Applied Mechanics and Materials 492 (January 2014): 482–88. http://dx.doi.org/10.4028/www.scientific.net/amm.492.482.
Full textLebo, Z. J., and J. H. Seinfeld. "A continuous spectral aerosol-droplet microphysics model." Atmospheric Chemistry and Physics Discussions 11, no. 8 (August 22, 2011): 23655–705. http://dx.doi.org/10.5194/acpd-11-23655-2011.
Full textNdife, Alexander N., Wattanapong Rakwichian, Paisarn Muneesawang, and Yodthong Mensin. "Smart power consumption forecast model with optimized weighted average ensemble." IAES International Journal of Artificial Intelligence (IJ-AI) 11, no. 3 (September 1, 2022): 1004. http://dx.doi.org/10.11591/ijai.v11.i3.pp1004-1018.
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