Wastewater treatment is energy and cost intensive. Demand charges on electricity bills often account for a large share of electricity costs, creating strong incentives for shifting load peaks away from time-of-use periods.
A team of Stanford researchers has developed ReMatch, an efficient, data-driven DER (distributed energy resources) planning and decision support framework that accounts for a range of complexities to optimize energy resource planning.