electrical energy consumption

Hybrid Energy Hub (HEH) for microgrids, systems and components with renewables, storage, fuel cells and electric vehicles charging stations integrated in smart buildings and energy communities

Lingua Italiano

The equipment consists in a smart microgrid with multiple and hybrid energy sources, storages and loads, including electric vehicles charging stations and hydrogen, completely controlled and monitored by a supervisory control and data acquisition platform (SCADA).
The equipment consists of functional modules compacted into a portable, wheeled container.
All the modules communicate by an open protocol to the main control for management, analysis and diagnostic.

Hybrid intelligent strategy for multifactor influenced electrical energy consumption forecasting

This paper proposes a novel hybrid strategy based on intelligent approaches to forecast electricity consumptions. The proposed forecasting strategy includes three main steps: (a) the evaluation of a correlation coefficient for socio-economic indicators on electric energy consumptions, (b) the classification of historical and socio-economic indicators using the proposed feature selection method, (c) the development of a new combined method using Adaptive Neuro-Fuzzy Inference System and Whale Optimization Algorithm to predict electrical energy consumptions.