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ESVAL selects WatEner for the implementation of the water Demand Forecast System (DFS)

ESVAL selects WatEner for the implementation of the water Demand Forecast System (DFS)

Source: ESVAL

WatEner has been selected by ESVAL (Empresa Sanitaria de Valparaíso, Aconcagua y Litoral) for a project that aims to provide a short-term water demand forecast in the Water System of Gran Valparaíso in Chile.

The implementation of WatEner´s Demand Forecast System (DFS) is part of a broader project for Gran Valparaíso´s production optimization.  The main focus is to obtain a precise and proven forecast of the short-term demand for each consumption sector, for the subsequent optimization of the production’s operational decisions.

WatEner operates a demand forecast system that applies Artificial Intelligence and Pattern Recognition techniques. The platform provides a daily forecast with a 10-minute time interval for the different consumption areas, dynamically adapting, not only to weather parameters (temperature, rainfall, humidity, etc.) but also to changes in consumer behavior (holidays, special events, etc.) that are difficult to predict with traditional mathematical models.

Ultimately, WatEner’s DFS automatically adapts to new consumption patterns, providing an accurate demand forecast through algorithms and without the need for manual data entry.

The geographical scope of the project is the Gran Valparaíso production system, which represents 47% of the Valparaíso region and serves more than 1 million inhabitants of the area with 2,700 km of pipelines.

ESVAL is a private water service company, which together with its subsidiary Aguas del Valle, provides drinking water production and distribution, and wastewater collection and treatment services to more than 16% of Chile’s urban population. With regard to drinking water, they provide a population of 2,028,093 inhabitants, through 6,812 km of pipes and 85 water treatment plants.

ESVAL‘s operational territory is characterized by a steep topography that makes the efficient operation of the water systems complex, in addition to to the severe drought that the country has been suffering for the last ten years. These, together with other challenges, have been driving ESVAL for years to search for innovative AI-based technologies to increase its operational efficiency and service quality.

The implementation of WatEner‘s demand forecast tool in ESVAL‘s network will be playing an important role to improve and increase efficiency in production and operational decision making and to ensure continuity and quality in supply.

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