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Now showing items 2731-2734 of 2734
Direct Short-Term Net Load Forecasting Based on Machine Learning Principles for Solar-Integrated Microgrids
(IEEE, 2023)
Accurate net load forecasting is a cost-effective technique, crucial for the planning, stability, reliability, and integration of variable solar photovoltaic (PV) systems in modern power systems. This work presents a direct ...
Direct short-term net load forecasting in renewable integrated microgrids using machine learning: a comparative assessment
(Elsevier, 2024)
Modern microgrids require accurate net load forecasting (NLF) for optimal operation and management at high shares of renewable energy sources. Machine learning (ML) principles can be used to develop precise and reliable ...
Electricity Day-Ahead Market Conditions and Their Effect on the Different Supervised Algorithms for Market Price Forecasting
(MDPI, 2023)
Participants in deregulated electricity markets face risks from price volatility due to various factors, including fuel prices, renewable energy production, electricity demand, and crises such as COVID-19 and energy-related ...
Heating standards and obsolescence in post-war Britain’s homes for today and tomorrow
(Cogitatio, 2024)
In 1962, a short film by Shell-Mex and BP Limited (Companies of the Royal Dutch/Shell Group and the British Petroleum Group) was prepared for the 29th Annual Conference and Exhibition of the National Society of Clean Air ...