The recent developments in the electrical sector and the increasing interactions among the energy and economic sectors call for developing specific techniques and tools for the electrical load modelling, management, forecasting and control. The course deals with various applications to the residential, industrial and tertiary sectors, and to the aggregated load at different levels. Various techniques related to the electrical load pattern analysis are illustrated and applied to load characterization (with deterministic and probabilistic representations) load classification and profiling (with clustering techniques), load forecasting (with artificial intelligence applications, neural networks), load management and control (demand response and thermostat-controlled loads). All course activities will be in English.

•Introduction to the representation of the electrical load
• Aggregated load models for residential users
• Load models for non-residential users
• Electricity customer classification techniques and load profiling
• Notes on Direct Load Control and Demand Response
• Thermostat-controlled loads and Cold Load Pickup
• Load forecasting principles
• Artificial intelligence applications to load forecasting

Date and meeting point for the first lecture: Monday, 19 September 2016, hour
10.00 AM, Politecnico di Torino, Dipartimento Energia (Energy Department), north side (near corso Montevecchio 71), room C (underground floor).
Final test: Friday, 23 September 2016, hour 9:00-10:30 AM, with communication of the results by 12:00 AM.