The present article describes the integration of a data-driven predictive demand response
control for residential buildings with heat pump and on-site energy generation. The data …

This paper deals with the problem of minimizing the electricity bill of smart buildings
equipped with centralized heating systems and thermal and electrical storage devices …

We propose a decentralized algorithm to help reduce demand-supply imbalance in a power
grid by varying the demand from loads, just like charging and discharging a battery. The …

Flexible loads can provide virtual energy storage (VES) by varying their demand around a
baseline, just like charging and discharging a battery. Since the capacity of each load is …

This paper investigates a method to improve buildings' thermal predictive control
performance via online identification and excitation (active learning process) that minimally …

In China, the orderly power utilization management has become one of the most important
way to overcome emergent events caused by power insufficiency or renewable power …

In modern electric power systems (EPS) solutions based on advanced metering
infrastructure (AMI) are required. The data collected by AMI could help to detect an …

Demand Response Management in Smart Buildings | SpringerLink Skip to main content
Advertisement Springer Nature Link Account Menu Find a journal Publish with us Track your …

The thesis provides different opportunities and ideas to face some current challenges in the
electricity systems. It focuses on the effective and efficient integration of distributed low …

Maintaining a balance between generation and consumption in the power grid is paramount
to its stable and reliable operation. Renewable energy sources are being increasingly used …