An integrated decision support system for multi-target forecasting: A case study of energy load prediction for a solar-powered residential house

•A data-driven framework for multi-target forecasting with a wide range of applications.•Implementing five predictive models and three ensemble techniques.•Novel ensemble technique called learned weights with superior prediction.•Applying best-worst multi-criteria decision-making.•Predicting energy loads based on location and meteorological conditions.