Enhanced time series forecasting

A system comprising:

• a memory;
• and
• a processing device, operatively coupled to the memory, the processing device to:
• determine, using an attributes model of a time series forecasting model, a set of features based on time series data, the set of features including periodic components;
• divide the time series data into a set of segments;
• for each segment of the set of segments, assign a weight using an age of the segment, resulting in a set of weighted segments of time series data;
• determine, using a trend detection model of the time series forecasting model, trend data from the set of weighted segments of time series data;
• and
• generate, by combining the set of features and the trend data, a time series forecast.

A non-transitory computer-readable medium, having instructions stored thereon which, when executed by a processing device, cause the processing device to:

• determine, using an attributes model of a time series forecasting model, a set of features based on time series data, the set of features including periodic components;
• divide the time series data into a set of segments;
• for each segment of the set of segments, assign a weight using an age of the segment, resulting in a set of weighted segments of time series data;
• determine, using a trend detection model of the time series forecasting model, trend data from the set of weighted segments of time series data;
• and
• generate, by combining the set of features and the trend data, a time series forecast.