亚博体育官网首页

Roundtable meeting in Delhi brings together key industry players; Climate Connect Technologies launches 鈥楳orning Megawatt鈥� 鈥淭here is no use for large volumes of data that wait for weeks or months. Artificial Intelligence and Machine Learning (AI and ML) are the tools that can help with prompt analysis and action,鈥� said RV Shahi, Advisor to the World Bank and former Sectary of Power, Government of India, at a round table event in New Delhi. The gathering facilitated by Climate Connect Technologies, at the India International Centre in New Delhi, brought together key government stakeholders and industry leaders in the power and energy sector. Notable attendees included Rajesh Bansal, Senior Vice President of BSES; Yogendra Prasad, Former Chairman & Managing Director of NHPC; and Dr Santanu Bannerjee, European Business Head of GAVS Tech, among others. The discussions focused on the role and relevance of AI and ML in India鈥檚 power and energy sector. This included consideration of the trends and learnings from western energy markets, particularly the European market. Nitin Tanwar, CEO, Climate Connect, said, 鈥淲e need to strengthen the foundations of the renewable energy sector by starting from the ground level; which involves monitoring the climatic changes of the country. Automated tools will help in monitoring these changes and forecasting the country鈥檚 power and energy markets.鈥� Shiv Kaushik, Director of Sales, Climate Connect, moderated the discussion and also shared his insights about the nation鈥檚 power sector. 鈥淭he power potential of the India is tremendous. However, due to the current lack of proper technology and tools; a huge part of this potential remains unrealised.鈥�  Sanand Sule, CTO, Climate Connect, launched Morning Megawatt, its market data and analysis service. It is now open for public access, and will furnish forecasts of the energy market based on time and price. 鈥淢orning Megawatt will make pricing decisions in the energy trading sector easier, by apprising information about all the factors that influence energy market data and prices鈥�. The discussion concluded on a positive and optimistic note, with key officials agreeing that AI and ML have great scope in the power sector. Proper utilisation of these tools will significantly bring down per-unit-power generation costs over the coming years and improve the efficiency and reach of the energy sector.