Abstract
Load forecasting is based on the known history of electricity demands, and it considers political, economic, and climate factors to make forecasting for the future electricity demands. This article first analysis the trends of history power load, and then choose load forecasting methods according to the trends. Through the analysis and comparison of the load forecasting methods’ credibility, assess the adaptability between forecasting methods and power load integrated. Higher credibility load forecasting methods are got through credibility sorting and then weights for each method are solved by optimization. The sorted load forecasting methods are combined together to forecast load power. Then to make the forecasting result more accuracy, after-test residue checking method is used to test the forecasting results. Forecasting electricity consumption of local actual operation power load and getting high credibility forecasting results can ensure the construction of local power grid develop with correct direction.
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References
Guo K-L, Tan L-N, Huang H (2011) The application of wavelet packet based Markov Chain in short-term load forecasting. Power Syst Prot Control 39(6):66–701
Kang C, Xia Q, Shen Y et al (1999) Integrated model of power system load forecasting. J Tsinghua Univ (Sci Technol) 39(1):8–11
Li P, Yan Y, Zheng W-J et al (2010) Short-term load forecasting based on quantum neural network by evidential theory. Power Syst Prot Control 38(16):49–53
Ma X-S, Shi T-J (2008) Credibility theory based approach to build optimal bidding strategies with risk management for generation companies. Power and energy society general meeting—conversion and delivery of electrical energy in the 21st century, 2008 IEEE, pp 1–5
Miao Z, Wu H, Li T et al (2009) Application of combination determining weights method based on LAD to the power mid-long term load forecasting. Power Syst Prot Control 37(2):28–31
Ning X-X, Liu S-F (2009) Management forecasting and decision-making method. Science Press, Beijing, pp 113–145
Wen Q, Zhang X, Yang X (2011) The application of combination forecasting model in medium-long term load forecasting based on load error and economic development trend. Power Syst Prot Control 39(3):57–61
Yuan T-J, Yuan J-D, Chao Q et al (2012) Study on the comprehensive model of mid-long term load forecasting. Power Syst Prot Control 40(14):143–151
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© 2016 Springer-Verlag Berlin Heidelberg
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Chen, Jl. et al. (2016). Combination and Optimization Load Forecasting Based on Credibility. In: Huang, B., Yao, Y. (eds) Proceedings of the 5th International Conference on Electrical Engineering and Automatic Control. Lecture Notes in Electrical Engineering, vol 367. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-48768-6_17
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DOI: https://doi.org/10.1007/978-3-662-48768-6_17
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Publisher Name: Springer, Berlin, Heidelberg
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Online ISBN: 978-3-662-48768-6
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