Abstract
Time series forecasting has attained high dimensions of significance in management, planning, and decision making for government institutions, industries, and businesses. However, the forecasting implementations are usually limited due to various factors such as data complexity, environmental conditions, economic variables, risk situations, among others, which originates from highly dynam…