Energy consumption assessment by AIA based time series scatter degree method

Abstract

To enlarge the difference of assessment values for energy consumption in equipment manufacturing industry among varied time, AIA based time series scatter degree method (AIA/TSSDM) is proposed so as to improve the energy consumption assessment performance. The comprehensive solution for energy consumption assessment by AIA/TSSDM is presented. AIA is introduced to adapt the conventional scatter degree method, and overcome the disadvantage of generating negative weights. In AIA, the scatter degree method oriented encoding system for antigens and antibodies is designed, the antibody density calculation is described. Several typical operators such as selecting, crossover and mutation are discussed, and the detail implement steps of AIA/TSSDM are designed. The energy consumption for equipment manufacturing industry in Shenyang city is take as research background, the above presented algorithm is applied. Comparing with conventional AHP, the difference of energy consumption assessment values for equipment manufacturing industry on varied years is enlarged. And solution diversity can be kept by introducing AIA in this algorithm so as to provide multi typical weight vectors.