{"workflow":{"id":14438,"name":"Govern energy portfolios with GPT-4o, Perplexity, Slack, Gmail and Sheets","views":19,"recentViews":1,"totalViews":19,"createdAt":"2026-03-29T11:37:58.254Z","description":"## How It Works\nThis workflow automates energy portfolio governance for energy managers, sustainability teams, and policy compliance officers. It eliminates the manual effort of aggregating multi-source energy data, applying forecasting and optimisation logic, and distributing performance outcomes to stakeholders. Three scheduled API feeds, weather data, energy demand, and renewable generation, are combined into a unified dataset. The Energy Governance Agent, backed by shared memory and a governance model, coordinates three specialist agents: a Renewable Forecasting Agent (predictive generation modelling), a Weather Analysis Agent (climate-adjusted demand assessment), and a Policy Compliance Agent (regulatory alignment checking). Five tools support the orchestration: an Energy Calculator, Optimisation Algorithm Tool, External Data API Tool, Sustainability Research Tool, and Structured KPI Output parser. Results are distributed across three outputs, a Slack sustainability alert, a Gmail performance dashboard email, and a Google Sheets KPI store, giving stakeholders immediate, channel-appropriate visibility into energy governance outcomes.\n\n## Setup Steps\n1. Import workflow; configure the Energy Analysis Schedule trigger interval.\n2. Set API endpoint URLs for Fetch Weather Data, Fetch Energy Demand, and Fetch Renewable Generation nodes.\n3. Add AI model credentials to the Agents.\n4. Connect Slack credentials to the Send Sustainability Alert node.\n5. Link Gmail credentials to the Email Performance Dashboard node.\n6. Link Google Sheets credentials; set the sheet ID for the Energy KPIs tab.\n\n## Prerequisites\n- OpenAI API key (or compatible LLM)\n- Slack workspace with bot credentials\n- Gmail account with OAuth credentials\n- Google Sheets with Energy KPIs tab pre-created\n## Use Cases\n- Energy managers automating renewable generation forecasting against real-time demand data\n## Customisation\n- Swap the Optimisation Algorithm Tool parameters to target carbon intensity, cost, or grid stability objectives\n## Benefits\n- Parallel triple-source ingestion ensures governance decisions are based on complete, synchronised energy data\n","workflow":{"id":"m5LtHsi6ZqfX5Frq","meta":{"instanceId":"b91e510ebae4127f953fd2f5f8d40d58ca1e71c746d4500c12ae86aad04c1502"},"name":"AI-powered energy governance with renewable forecasting and policy compliance","tags":[],"nodes":[{"id":"ff1c52e9-74e1-4856-9c39-b5ce70648a13","name":"Energy Analysis Schedule","type":"n8n-nodes-base.scheduleTrigger","position":[256,496],"parameters":{"rule":{"interval":[{"field":"hours"}]}},"typeVersion":1.3},{"id":"0806a3fe-9d07-40ca-9b25-f07388d8391a","name":"Fetch Weather Data","type":"n8n-nodes-base.httpRequest","position":[480,304],"parameters":{"url":"<__PLACEHOLDER_VALUE__weather_api_endpoint__>","options":{}},"typeVersion":4.4},{"id":"d668b40d-8da9-430b-b24d-220c1e62aa4c","name":"Fetch Energy Demand","type":"n8n-nodes-base.httpRequest","position":[480,496],"parameters":{"url":"<__PLACEHOLDER_VALUE__energy_demand_api_endpoint__>","options":{}},"typeVersion":4.4},{"id":"d097b13e-4516-4d33-860a-50a0342f7711","name":"Fetch Renewable Generation","type":"n8n-nodes-base.httpRequest","position":[480,688],"parameters":{"url":"<__PLACEHOLDER_VALUE__renewable_generation_api_endpoint__>","options":{}},"typeVersion":4.4},{"id":"8d45a455-1bd9-4043-876e-1a70520cb75d","name":"Combine Energy Data","type":"n8n-nodes-base.merge","position":[704,480],"parameters":{"mode":"combine","options":{},"combineBy":"combineByPosition","numberInputs":3},"typeVersion":3.2},{"id":"1eb8242f-9f0e-4847-a82d-70fe493a6878","name":"Energy Governance Agent","type":"@n8n/n8n-nodes-langchain.agent","position":[1856,496],"parameters":{"text":"={{ $json }}","options":{"systemMessage":"You are the Energy Governance Agent, responsible for orchestrating smart energy allocation, policy compliance, and sustainability reporting. Analyze the combined energy data (weather, demand, renewable generation) and coordinate with specialized sub-agents to optimize renewable energy usage, reduce non-renewable reliance, ensure policy compliance, and generate comprehensive sustainability insights. Provide strategic recommendations for energy allocation and identify compliance issues."},"promptType":"define","hasOutputParser":true},"typeVersion":3.1},{"id":"2d8ebfc8-8528-4c04-91d4-95ad16b4053e","name":"Governance Model","type":"@n8n/n8n-nodes-langchain.lmChatOpenAi","position":[928,720],"parameters":{"model":{"__rl":true,"mode":"id","value":"gpt-4o"},"options":{"temperature":0.2},"builtInTools":{}},"credentials":{"openAiApi":{"id":"mv2ECvRtbAK63G2g","name":"OpenAi account"}},"typeVersion":1.3},{"id":"d2201c9e-ea06-482a-9ce4-cbdd57b36e9c","name":"Structured KPI Output","type":"@n8n/n8n-nodes-langchain.outputParserStructured","position":[2432,720],"parameters":{"schemaType":"manual","inputSchema":"{\n\t\"type\": \"object\",\n\t\"properties\": {\n\t\t\"renewablePercentage\": {\n\t\t\t\"type\": \"number\"\n\t\t},\n\t\t\"nonRenewablePercentage\": {\n\t\t\t\"type\": \"number\"\n\t\t},\n\t\t\"energyEfficiencyScore\": {\n\t\t\t\"type\": \"number\"\n\t\t},\n\t\t\"carbonFootprintKg\": {\n\t\t\t\"type\": \"number\"\n\t\t},\n\t\t\"policyComplianceStatus\": {\n\t\t\t\"type\": \"string\"\n\t\t},\n\t\t\"recommendations\": {\n\t\t\t\"type\": \"array\",\n\t\t\t\"items\": {\n\t\t\t\t\"type\": \"string\"\n\t\t\t}\n\t\t},\n\t\t\"alerts\": {\n\t\t\t\"type\": \"array\",\n\t\t\t\"items\": {\n\t\t\t\t\"type\": \"string\"\n\t\t\t}\n\t\t},\n\t\t\"forecastedDemandKwh\": {\n\t\t\t\"type\": \"number\"\n\t\t},\n\t\t\"availableRenewableKwh\": {\n\t\t\t\"type\": \"number\"\n\t\t},\n\t\t\"optimizationOpportunities\": {\n\t\t\t\"type\": \"array\",\n\t\t\t\"items\": {\n\t\t\t\t\"type\": \"string\"\n\t\t\t}\n\t\t}\n\t}\n}"},"typeVersion":1.3},{"id":"802936ed-7ea7-4bbb-86e9-008cb1efe917","name":"Renewable Forecasting Agent","type":"@n8n/n8n-nodes-langchain.agentTool","position":[1056,720],"parameters":{"text":"={{ $fromAI('forecasting_task', 'The forecasting analysis task to perform') }}","options":{"systemMessage":"You are the Renewable Energy Forecasting Agent. Analyze energy demand trends, weather patterns (solar radiation, wind speed), and current renewable generation capacity to predict future renewable energy availability. Calculate renewable vs non-renewable percentages, identify peak demand periods, and recommend optimal energy allocation strategies to maximize renewable usage."},"toolDescription":"Analyzes energy demand patterns, weather conditions, and renewable generation capacity to forecast renewable energy availability and predict optimal allocation strategies"},"typeVersion":3},{"id":"3f8bc7ec-2e47-49ed-9c28-19e095a4d0ed","name":"Forecasting Model","type":"@n8n/n8n-nodes-langchain.lmChatOpenAi","position":[1136,928],"parameters":{"model":{"__rl":true,"mode":"id","value":"gpt-4o"},"options":{"temperature":0.2},"builtInTools":{}},"credentials":{"openAiApi":{"id":"mv2ECvRtbAK63G2g","name":"OpenAi account"}},"typeVersion":1.3},{"id":"ede50230-9b8c-43e3-85ee-51f2b52e2f9b","name":"Weather Analysis Agent","type":"@n8n/n8n-nodes-langchain.agentTool","position":[1344,720],"parameters":{"text":"={{ $fromAI('weather_task', 'The weather analysis task to perform') }}","options":{"systemMessage":"You are the Weather Analysis Agent. Analyze current and forecasted weather conditions (solar radiation, wind speed, cloud cover, temperature, precipitation) to assess their impact on renewable energy generation. Predict solar panel efficiency, wind turbine output, and identify optimal weather windows for maximum renewable generation."},"toolDescription":"Analyzes weather patterns including solar radiation, wind speed, cloud cover, and temperature to assess impact on renewable energy generation potential"},"typeVersion":3},{"id":"423f6c8a-7375-4e85-a519-099468cffd35","name":"Weather Model","type":"@n8n/n8n-nodes-langchain.lmChatOpenAi","position":[1424,928],"parameters":{"model":{"__rl":true,"mode":"id","value":"gpt-4o"},"options":{"temperature":0.2},"builtInTools":{}},"credentials":{"openAiApi":{"id":"mv2ECvRtbAK63G2g","name":"OpenAi account"}},"typeVersion":1.3},{"id":"847bf588-0296-42e7-87dc-384424ae3e4d","name":"Policy Compliance Agent","type":"@n8n/n8n-nodes-langchain.agentTool","position":[1632,720],"parameters":{"text":"={{ $fromAI('compliance_task', 'The policy compliance task to perform') }}","options":{"systemMessage":"You are the Policy Compliance Agent. Evaluate current energy allocation and renewable usage against sustainability policies, environmental regulations, carbon emission targets, and renewable energy mandates. Identify compliance violations, calculate carbon footprint, assess policy adherence, and recommend corrective actions to meet sustainability goals."},"toolDescription":"Evaluates energy usage against sustainability policies, regulatory requirements, and environmental standards to ensure compliance and identify violations"},"typeVersion":3},{"id":"f8a74528-5082-43c5-a831-a8292268e336","name":"Policy Model","type":"@n8n/n8n-nodes-langchain.lmChatOpenAi","position":[1712,928],"parameters":{"model":{"__rl":true,"mode":"id","value":"gpt-4o"},"options":{"temperature":0.2},"builtInTools":{}},"credentials":{"openAiApi":{"id":"mv2ECvRtbAK63G2g","name":"OpenAi account"}},"typeVersion":1.3},{"id":"8a5335ce-0077-4231-93ec-6395c7d57a61","name":"Energy Calculator","type":"@n8n/n8n-nodes-langchain.toolCalculator","position":[1920,720],"parameters":{},"typeVersion":1},{"id":"38408357-003d-469c-ae9f-3b63bfe613ed","name":"Optimization Algorithm Tool","type":"@n8n/n8n-nodes-langchain.toolCode","position":[2048,720],"parameters":{"jsCode":"// Energy optimization algorithm\nconst demand = $fromAI('demand', 'Energy demand in kWh', 'number');\nconst renewable = $fromAI('renewable', 'Available renewable energy in kWh', 'number');\nconst efficiency = Math.min(renewable / demand * 100, 100);\nreturn { efficiency, surplus: Math.max(renewable - demand, 0) };","description":"Executes complex energy optimization algorithms and statistical forecasting models"},"typeVersion":1.3},{"id":"82d2c6d0-8003-4fff-9e17-a9f68c3040f9","name":"External Data API Tool","type":"n8n-nodes-base.httpRequestTool","position":[2176,720],"parameters":{"url":"={{ $fromAI('url', 'API endpoint URL', 'string') }}","method":"={{ $fromAI('method', 'HTTP method (GET, POST, etc.)', 'string', 'GET') }}","options":{},"toolDescription":"Fetches additional energy grid data, IoT sensor readings, or external sustainability metrics when needed"},"typeVersion":4.4},{"id":"9d3080ac-8a34-4a42-b563-c0346d09968c","name":"Sustainability Research Tool","type":"n8n-nodes-base.perplexityTool","position":[2304,720],"parameters":{"options":{},"messages":{"message":[{"content":"={{ $fromAI('sustainability_research', 'Research query about renewable energy policies, sustainability regulations, or industry best practices') }}"}]},"requestOptions":{},"descriptionType":"manual","toolDescription":"Researches latest renewable energy policies, sustainability regulations, and industry best practices"},"credentials":{"perplexityApi":{"id":"hmDBlVXt4GJKfIfz","name":"Perplexity account new"}},"typeVersion":1},{"id":"6ab3a126-37a0-4ae3-9c8e-cd8d639e4ef4","name":"Store Energy KPIs","type":"n8n-nodes-base.googleSheets","position":[2864,688],"parameters":{"operation":"append","sheetName":{"__rl":true,"mode":"list","value":""},"documentId":{"__rl":true,"mode":"list","value":""}},"credentials":{"googleSheetsOAuth2Api":{"id":"hQFe8XTqJEiHL03Z","name":"Google Sheets account"}},"typeVersion":4.7},{"id":"5bf20b2b-b500-4912-923b-c08ea0b676f6","name":"Send Sustainability Alert","type":"n8n-nodes-base.slack","position":[2640,304],"webhookId":"cb434f29-675a-4054-8725-4951a6b20a65","parameters":{"text":"=🌱 *Sustainability Alert*\n\n*Renewable Energy:* {{ $json.output.renewablePercentage }}%\n*Energy Efficiency Score:* {{ $json.output.energyEfficiencyScore }}/100\n*Carbon Footprint:* {{ $json.output.carbonFootprintKg }} kg COβ‚‚\n*Compliance Status:* {{ $json.output.policyComplianceStatus }}\n\n*Recommendations:*\n{{ $json.output.recommendations.join('\\nβ€’ ') }}\n\n*Alerts:*\n{{ $json.output.alerts.join('\\n⚠️ ') }}","select":"channel","channelId":{"__rl":true,"mode":"list","value":"<__PLACEHOLDER_VALUE__sustainability_channel__>"},"otherOptions":{},"authentication":"oAuth2"},"credentials":{"slackOAuth2Api":{"id":"d34b1ayEBbvZm2lT","name":"Slack account"}},"typeVersion":2.4},{"id":"02b99fec-bde8-47ae-8e52-07fc4e9e5b3a","name":"Email Performance Dashboard","type":"n8n-nodes-base.gmail","position":[2640,496],"webhookId":"a770c88f-6e74-4e60-a664-5b87afbb9b4d","parameters":{"sendTo":"<__PLACEHOLDER_VALUE__sustainability_team_email__>","message":"=

🌍 Environmental Performance Dashboard

\n\n

Energy Metrics

\n\n\n

Forecasting

\n\n\n

Policy Compliance

\n

Status: {{ $('Energy Governance Agent').item.json.output.policyComplianceStatus }}

\n\n

Optimization Opportunities

\n\n\n

Strategic Recommendations

\n","options":{"appendAttribution":false},"subject":"=Environmental Performance Dashboard - {{ $now.format('yyyy-MM-dd') }}"},"credentials":{"gmailOAuth2":{"id":"u1N5nBDvQ0AWhNnV","name":"Gmail account"}},"typeVersion":2.2},{"id":"bfcd2f86-5138-4e7f-ab96-8c9257cfc7a5","name":"Prepare Sheet Data","type":"n8n-nodes-base.set","position":[2640,688],"parameters":{"options":{},"assignments":{"assignments":[{"id":"id-1","name":"timestamp","type":"string","value":"={{ $now.toISO() }}"},{"id":"id-2","name":"renewablePercentage","type":"number","value":"={{ $json.output.renewablePercentage }}"},{"id":"id-3","name":"nonRenewablePercentage","type":"number","value":"={{ $json.output.nonRenewablePercentage }}"},{"id":"id-4","name":"energyEfficiencyScore","type":"number","value":"={{ $json.output.energyEfficiencyScore }}"},{"id":"id-5","name":"carbonFootprintKg","type":"number","value":"={{ $json.output.carbonFootprintKg }}"},{"id":"id-6","name":"policyComplianceStatus","type":"string","value":"={{ $json.output.policyComplianceStatus }}"},{"id":"id-7","name":"forecastedDemandKwh","type":"number","value":"={{ $json.output.forecastedDemandKwh }}"},{"id":"id-8","name":"availableRenewableKwh","type":"number","value":"={{ $json.output.availableRenewableKwh }}"}]}},"typeVersion":3.4},{"id":"7e5c76e5-4f0c-4e30-9020-2eb81319d97a","name":"Sticky Note","type":"n8n-nodes-base.stickyNote","position":[896,-48],"parameters":{"width":544,"height":224,"content":"## Setup Steps\n1. Import workflow; configure the Energy Analysis Schedule trigger interval.\n2. Set API endpoint URLs for Fetch Weather Data, Fetch Energy Demand, and Fetch Renewable Generation nodes.\n3. Add AI model credentials to the Agents.\n4. Connect Slack credentials to the Send Sustainability Alert node.\n5. Link Gmail credentials to the Email Performance Dashboard node.\n6. Link Google Sheets credentials; set the sheet ID for the Energy KPIs tab."},"typeVersion":1},{"id":"ed5d9ac9-4772-4ea2-acc1-83df6b5b3dc6","name":"Sticky Note1","type":"n8n-nodes-base.stickyNote","position":[208,-176],"parameters":{"width":656,"height":336,"content":"## How It Works\nThis workflow automates energy portfolio governance for energy managers, sustainability teams, and policy compliance officers. It eliminates the manual effort of aggregating multi-source energy data, applying forecasting and optimisation logic, and distributing performance outcomes to stakeholders. Three scheduled API feeds, weather data, energy demand, and renewable generation, are combined into a unified dataset. The Energy Governance Agent, backed by shared memory and a governance model, coordinates three specialist agents: a Renewable Forecasting Agent (predictive generation modelling), a Weather Analysis Agent (climate-adjusted demand assessment), and a Policy Compliance Agent (regulatory alignment checking). Five tools support the orchestration: an Energy Calculator, Optimisation Algorithm Tool, External Data API Tool, Sustainability Research Tool, and Structured KPI Output parser. Results are distributed across three outputs, a Slack sustainability alert, a Gmail performance dashboard email, and a Google Sheets KPI store, giving stakeholders immediate, channel-appropriate visibility into energy governance outcomes."},"typeVersion":1},{"id":"13cc82b0-eab4-4d0e-ba3c-9ca0eac32f81","name":"Sticky Note2","type":"n8n-nodes-base.stickyNote","position":[1488,-240],"parameters":{"color":6,"width":624,"height":416,"content":"## Prerequisites\n- OpenAI API key (or compatible LLM)\n- Slack workspace with bot credentials\n- Gmail account with OAuth credentials\n- Google Sheets with Energy KPIs tab pre-created\n## Use Cases\n- Energy managers automating renewable generation forecasting against real-time demand data\n## Customisation\n- Swap the Optimisation Algorithm Tool parameters to target carbon intensity, cost, or grid stability objectives\n## Benefits\n- Parallel triple-source ingestion ensures governance decisions are based on complete, synchronised energy data"},"typeVersion":1},{"id":"0a084172-9c7b-4f1f-a679-46c3371ebd7f","name":"Sticky Note3","type":"n8n-nodes-base.stickyNote","position":[2576,128],"parameters":{"color":7,"width":480,"height":976,"content":"## Send Sustainability Alert, Email Dashboard & Store Energy KPIs\n**Why** β€” Distributes governance outcomes via Slack alerts, Gmail dashboards, and Google Sheets KPI logs to keep all stakeholders informed without manual reporting."},"typeVersion":1},{"id":"8998bbf3-4f53-4d1c-a58e-7c469c89c733","name":"Sticky Note4","type":"n8n-nodes-base.stickyNote","position":[1328,240],"parameters":{"color":7,"width":1216,"height":864,"content":"\n## Energy Calculator, Optimisation & External Data Tools\n**Why** β€” Applies quantitative calculation, algorithmic optimisation, and live external data enrichment to produce governance-grade energy recommendations."},"typeVersion":1},{"id":"2570a8a9-4e1f-445e-a277-80d70530b1a3","name":"Sticky Note5","type":"n8n-nodes-base.stickyNote","position":[240,208],"parameters":{"color":7,"width":1056,"height":896,"content":"## Energy Governance Agent & Specialist Agents\n**Why** β€” Coordinates Renewable Forecasting, Weather Analysis, and Policy Compliance agents using shared memory, enabling context-aware optimisation across all energy dimensions simultaneously."},"typeVersion":1}],"active":false,"pinData":{},"settings":{"binaryMode":"separate","executionOrder":"v1"},"versionId":"eb00c5db-f2e0-47cf-ab7e-185c105c7004","connections":{"Policy Model":{"ai_languageModel":[[{"node":"Policy Compliance Agent","type":"ai_languageModel","index":0}]]},"Weather Model":{"ai_languageModel":[[{"node":"Weather Analysis Agent","type":"ai_languageModel","index":0}]]},"Governance Model":{"ai_languageModel":[[{"node":"Energy Governance Agent","type":"ai_languageModel","index":0}]]},"Energy Calculator":{"ai_tool":[[{"node":"Energy Governance Agent","type":"ai_tool","index":0}]]},"Forecasting 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Dashboard","type":"main","index":0}]]},"Policy Compliance Agent":{"ai_tool":[[{"node":"Energy Governance Agent","type":"ai_tool","index":0}]]},"Energy Analysis Schedule":{"main":[[{"node":"Fetch Weather Data","type":"main","index":0},{"node":"Fetch Energy Demand","type":"main","index":0},{"node":"Fetch Renewable Generation","type":"main","index":0}]]},"Fetch Renewable Generation":{"main":[[{"node":"Combine Energy Data","type":"main","index":2}]]},"Optimization Algorithm Tool":{"ai_tool":[[{"node":"Energy Governance Agent","type":"ai_tool","index":0}]]},"Renewable Forecasting Agent":{"ai_tool":[[{"node":"Energy Governance Agent","type":"ai_tool","index":0}]]},"Sustainability Research Tool":{"ai_tool":[[{"node":"Energy Governance 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Contact me to discuss custom AI workflows and agent architectures.\n","verified":true,"links":["https://gravatar.com/mysticluminary9fa255f7f5"],"avatar":"https://gravatar.com/avatar/54544f98e839bb9dd9a764ad1e6823eeddb6db5138d201e42f291a7b0a73303f?r=pg&d=retro&size=200"},"nodes":[{"id":18,"icon":"file:googleSheets.svg","name":"n8n-nodes-base.googleSheets","codex":{"data":{"alias":["CSV","Sheet","Spreadsheet","GS"],"resources":{"generic":[{"url":"https://n8n.io/blog/love-at-first-sight-ricardos-n8n-journey/","icon":"❀️","label":"Love at first sight: Ricardo’s n8n journey"},{"url":"https://n8n.io/blog/why-business-process-automation-with-n8n-can-change-your-daily-life/","icon":"🧬","label":"Why business process automation with n8n can change your daily life"},{"url":"https://n8n.io/blog/automatically-adding-expense-receipts-to-google-sheets-with-telegram-mindee-twilio-and-n8n/","icon":"🧾","label":"Automatically Adding Expense Receipts to Google Sheets with Telegram, Mindee, Twilio, and n8n"},{"url":"https://n8n.io/blog/supercharging-your-conference-registration-process-with-n8n/","icon":"🎫","label":"Supercharging your conference registration process with n8n"},{"url":"https://n8n.io/blog/creating-triggers-for-n8n-workflows-using-polling/","icon":"⏲","label":"Creating triggers for n8n workflows using polling"},{"url":"https://n8n.io/blog/no-code-ecommerce-workflow-automations/","icon":"store","label":"6 e-commerce workflows to power up your Shopify s"},{"url":"https://n8n.io/blog/migrating-community-metrics-to-orbit-using-n8n/","icon":"πŸ“ˆ","label":"Migrating Community Metrics to Orbit using n8n"},{"url":"https://n8n.io/blog/automate-google-apps-for-productivity/","icon":"πŸ’‘","label":"15 Google apps you can combine and automate to increase productivity"},{"url":"https://n8n.io/blog/your-business-doesnt-need-you-to-operate/","icon":" πŸ–₯️","label":"Hey founders! 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