@inproceedings{johnston_spaceops2018_forecasting,
	title        = {Integrated Planning and Scheduling for NASA's Deep Space Network – from Forecasting to Real-time},
	author       = {Mark D. Johnston and Jigna Lad},
	year         = 2018,
	month        = {May},
	booktitle    = {International Conference On Space Operations (SpaceOps 2018)},
	address      = {Marseille, France},
	url          = {https://ai.jpl.nasa.gov/public/papers/johnston-spaceops2018-forecasting.pdf},
	abstract     = {Over a period of several years, the software systems that plan and schedule the use of NASA's Deep Space Network (DSN) for the projects it serves have been upgraded from a disparate set of decades - old software components, to an integrated suite covering long - range planning and forecasting, all the way to real - time scheduling. The most recent component of this suite is known as LAPS, for Loading Analysis and Planning Software, and is responsible for long - term planning and forecasting, including studies and analysis of new mi ssions, changed mission requirements, downt ime, and new or changed antenna capabilities . This paper discuss es the architecture of LAPS and its interfaces with other elements of DSN planning and scheduling, its user interfaces, and some lessons learned from development and deployment.},
	clearance    = {CL\#18-1900},
	project      = {SSS}
}

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