Information flows and optimization for a holistic industrial energy management

Due to the changing energy market with regards to fight against the climate change, manufacturing companies are forced to enhance their efforts in energy management. Since the topic was mostly neglected for quite a while, there are no concepts that cover an holistic approach for industrial energy management. This paper presents a way to merge the existing partial systems for manufacturing companies by looking at the crucial information flows and solving the subsequent holistic optimization problem using the concept of walrasian auction with integrated Q-learning algorithm. The result can support business by identifying the needed (information-) resources and implementing a holistic optimization of energy usage.