A Novel Correction for the Adjusted Box-Pierce Test

The classical Box-Pierce and Ljung-Box tests for auto-correlation of residuals possess severe deviations from nominal type I error rates. Previous studies have attempted to address this issue by either revising existing tests or designing new techniques. The Adjusted Box-Pierce achieves the best results with respect to attaining type I error rates closer to nominal values. This research paper proposes a further correction to the adjusted Box-Pierce test that possesses near perfect type I error rates. The approach is based on an inflation of the rejection region for all sample sizes and lags calculated via a linear model applied to simulated data that encompasses a large range of data scenarios. Our results show that the new approach possesses the best type I error rates of all goodness-of-fit time series statistics

Design and pv-biogas hybrid micro-network optimization for isolated zones to electrical grid

This paper deals the electrification problems in African rural localities particularly in Malian localities. One solution is to develop the renewable energy sources due to their enormous resource which is inexhaustible and their production mode which preserves environment. To increase the energy production and to manage the intermit tent period of renewable resource, it will be interesting to combine divers renewable sources. In this hybridization of renewable energy sources context, the PV-Bio mass hybrid system becomes very interesting compared to others hybrid energy systems, due to his high flexibility and low dependency to meteorological conditions . These properties place the PV-Bio mass hybrid energy system as one of the bests systems in reliable and sustainable energy production for rural areas. In this study, we propose a PV-Bio mass hybrid energy system with energy storage to produce 100 % renewable energy and to preserve at the same time the environment . This hybrid system is studied under HOMER PRO software in order to identify the optimal configuration in terms of reliable energy production, sustainable and minimal cost over the hybrid system life cycle. The obtained results after simulation show that the optimal configuration is composed of a biogasgenerator of 100kW, a PV field of 160kWc and a battery park for reliable and sustainable energy production with a low cost over the life cycle of the hybrid energy system for Kolokani locality