D.R.E.A.M.

Demand Response Energy Analysis And Management
D.R.E.A.M is the orchestration of the power supply & demand by automatically shifting, scheduling or shedding peaks to minimize economic losses, to maximize grid efficiency and to reduce involved GHG emissions, by the help of AI, IoT and smart data.

D.R.E.A.M. platform is one of the important part of electric grids. Increasing share of distributed energy generation resources blurring traditional boundaries between generation, transmission and distribution. Smart Grid getting these all points to be communicated, collaborated, monitored and managed ready. Significant GHG emission will be observed due to have better central and building energy managements.

How it Works?

DREAM functionality can be divided into demand-side management (DSM) and continuous energy performance monitoring (CEPM). DSM begins with estimation. Inner temperature, humidity, VOCs, luminance and historical consumption trends give day ahead consumption estimation by deep learning algorithms.

Decision process, with the combination of these estimations and electrical market prices, actuates embedded smart load manager (eSLM) to reduce peak power demand, by shifting, dimming or shedding of electrical loads. Furthermore, this process determines the amount of energy will be purchased from the market. Machine learning based CEPM function can be described as long term live monitoring that can detect consumption anomalies and inefficiencies in building automation system (BAS). Thus allowing discovery of practical energy conservation potentials and reporting optimal operation parameters. DREAM system consists of DSM, CEPM eSLM modules and integrates them using best business practices.