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In the ever-evolving landscape of capital infrastructure projects, government agencies find themselves performing an intricate dance. The heightened focus on the timely and budget-conforming ...
Recent advances in AI, such as foundation models, make it possible for smaller companies to build custom models to make predictions, reduce uncertainty, and gain business advantage. Time series ...
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Advancing Solar Forecasting with LSTM Algorithms
Solar energy is rapidly emerging as one of the most important renewable energy sources for reducing the current dependence on fossil fuel-based electricity generation. The recent improvements in ...
Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now In the wake of the disruptive debut of ...
The data warehousing company wants to help enterprises apply time series forecasting to their data to generate future predictions as an aid to strategic decision making. Cloud-based data warehouse ...
A research team in the United States has created a novel approach to integrate raw sky images and global solar irradiance measurements, solar nowcasting, and intra-hour forecasting. The methodology ...
Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...
Crunchtime, a leading provider of operations management solutions for the restaurant industry, announced the availability of new artificial intelligence (AI) capabilities that enable restaurants to ...
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