Power Forecasting Articles & Analysis
27 articles found
In wind energy projects, obtaining precise and reliable wind resource data is crucial, yet the available data often remains limited in both time and space. To extend this data into the long term, integrating real-world measurements with model results becomes essential. This study demonstrates the process of improving modelled turbulence using observational data and calibrating high-resolution ...
Centrifugal pumps are widely used in the Industry. Pumps are one of the major contributors to energy consumption and plant breakdown occurrences. Pump operators usually face the following two challenges with centrifugal pumps: Poor Efficiency Poor Reliability The solution to the above two problems is simple – Operate the pumps at or near their best efficiency point. Even though this ...
Predictive Analytics Integration: ESA data can be integrated with predictive analytics and machine learning algorithms to develop predictive maintenance models that forecast equipment failure probabilities based on historical data and trends. ...
Prepayment meter rate, is a type of smart energy meter that operate on a prepaid basis, requiring users to top up before using electricity. These meters offer prepayment functionality, smart controls, remote meter reading, and reliability. Users can easily track their electricity usage and costs, making it convenient to manage. Prepayment meter rate is suitable for residential, commercial, and ...
What benefits will the widespread application of energy meter IoT bring to people? With the rapid development of technology, the energy meter IoT, as a new type of intelligent electric energy consumption measurement device, is gradually becoming popular and being applied in people's daily lives. This type of electric energy meter not only has the functions of traditional electric energy meters, ...
In the power system, the tariff energy meter is a very important device that measures and records the energy consumption of electricity in order to calculate the electricity bill. As the number of electric vehicles increases year by year, the proportion of electric vehicles in electricity consumption is also increasing. In order to balance the load fluctuation of the power grid, a rate meter is ...
Post-translational modifications (PTMs) are essential chemical alterations that occur on proteins after their synthesis. These modifications play a crucial role in regulating protein function, cellular signaling, and overall biological processes. To unravel the mysteries of PTMs and understand their functional implications, scientists have developed PTM prediction tools that utilize computational ...
Clinical researchers have begun adopting predictive analytics to anticipate a patient’s engagement in a clinical trial, including if and how a patient will adhere to their treatment plan. As these models are fed more patient-level audio and visual data, they have the potential to open up a whole new world of a patient’s lived experience – from how a patient will respond to their ...
ByAiCure
Manufacturers of key components can go bankrupt and leave you without an important spare part! Don't let setting up solar forecasting technology at your asset be another pain-point. Use the Solcast API Toolkit! ...
BySolcast
Learn about how the Eclipse X solar car team uses solar forecasting in its race strategy! Solar forecasting for the Eclipse X Solar Car This week, we have a guest blog post from the Eclipse X solar car team, who are accessing the Solcast API to support their race ...
BySolcast
Solcast has partnered with BloomSky on our Super Rapid Update solar power forecasting products. Get a sky-imager installed on your solar farm site with affordable and fast installation. ...
BySolcast
As per a recent industry report put forward by Global Market Insights Inc., Concentrated Solar Power Market is forecast to register its name in the billion-dollar fraternity down the line of seven years, by exceeding a revenue of USD 4 billion by 2025 with a projected CAGR of 8.5% over 2019-2025. ...
The Solar-Log® brand started 12 years ago with a homeowner’s vision to know how his solar PV plant was performing. Since then, installers across the globe have relied on Solar-Log® more than any other independent software vendor on the planet, to provide the plant data needed to effectively monitor and understand solar plant performance. Solar-Log’s dedication to creating a ...
Clearer vision Conference speakers stressed that more clarity will be required on South Africa's power demand forecasts and planned project procurements, given recent revisions to national GDP outlooks. ...
Clearer vision Conference speakers stressed that more clarity will be required on South Africa's power demand forecasts and planned project procurements, given recent revisions to national GDP outlooks. ...
Ensuring reliable structural condition of sewers is an important criterion for sewer rehabilitation decisions. Deterioration models applied to sewer pipes support the rehabilitation planning by means of prioritising pipes according to their current and predicted structural status. There is a benefit in applying such models if sufficient inspection data for calibration, an appropriate ...
The long term power generations of both WECS in time steps of five–minute of up to one–week ahead are predicted for the month of January 2010. The forecast results are compared to the actual energy generations obtained from the statistical–based technique. The forecast model returns an absolute error value of 5.265%, mean absolute error value of ...
AI techniques have been applied for modelling, identification, optimisation, prediction, forecasting, and control of complex systems. Artificial neural networks have been used by the author in the field of solar energy for the estimation of solar radiation data. ...
The 2007 lighting standards, alone, are expected to reduce annual electricity use by 72 billion kWh by 2020, enough to serve the annual electricity needs of 6.6 million average households and avoid construction of about 30 power plants. ACEEE forecasts that the lighting standards will reduce consumer energy bills by more than $7 billion by 2020, or about $50 per ...
Most of critical infrastructures (CIs) depend on the power system. The predictable onset of a microgeneration paradigm (many dispersed small generators of medium-low power) will considerably decrease network stability and thus increase risk of failures and other's infrastructures dependence. In order to study the stability of synchronisation in a power microgeneration scenario, we derive the ...